Caesarean Section Characteristics Based on Robson Classification at Sanglah Hospital

Sugianto, Sugianto; Kusuma, Anak Agung Ngurah Jaya; Suwardewa, Tjok Gde Agung; Adnyana, Ida Bagus Putra; Surya, I Gede Ngurah Harry Wijaya

doi:10.24018/ejmed.2022.4.1.1171

Cited by 3 publications

(4 citation statements)

References 13 publications

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“…This shows that assessing changes to know the groups (Robson groups 5, 2A, and 1) that contribute to the prevalence of CS deliveries the most might give beneficial knowledge for decreasing CS rates and thus offers a standard for assessing the success of upcoming attempts to cut CS rates in Canada. Contrary to the findings of the previous investigation, Sugianto et al came to the conclusion that 34.3% of the 385 cases of labour involved CS [21]. Of this, the majority of the CS deliveries were in the women aged 25-29 years, primigravida women, and women without a history of prior CS; the primary gestational age was a term, and the biggest contribution of the CS rate of 23 Additionally, TGCS offers a method for gathering and analyzing data regarding CS rates in an institution.…”

Section: Konar Et Alcontrasting

confidence: 60%

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Frequency of Caesarean Section Classified by Robson’s Ten Group Classification System: A Scoping Review

Jiandani¹,

Somalwar²,

Bhalerao³

2023

Cureus

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The prevalence of caesarean section (CS) is rising rapidly. However, it should be carried out only under valid obstetric indications due to the various complications associated with it. Therefore, to record CS incidences, Robson's Ten Group Classification System (TGCS) was implemented. This review focuses on the prevalence of CS rates found in various studies and identifies the clinically important groups that were most involved in CS deliveries. Preferred Reporting Items for Systematic Review and Meta-Analysis Extension for Scoping Review (PRISMA-ScR) guidelines were followed in this review. "Caesarean delivery" OR "Robson's Ten Group" OR "Classification System" were keywords used to search literature. Twenty-one studies were included in this review based on eligibility criteria. We concluded that group 5 was the major contributing factor for the increase in CS rates followed by group 10, group 4, group 2, and group 1. Previous CS was the most common factor responsible for increasing CS rates. We emphasize that Robson's TGCS is an essential parameter for recording CS rates and is simple to use for CS rate comparison.

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Section: Konar Et Alcontrasting

confidence: 60%

“….38% was from Robson group 10[21]. Furthermore, in a study byKonar et al, the Robson groups 1, 2, 3, and 5 were discovered to be the main drivers of the total CS rate[26].…”

mentioning

confidence: 95%

Frequency of Caesarean Section Classified by Robson’s Ten Group Classification System: A Scoping Review

Jiandani¹,

Somalwar²,

Bhalerao³

2023

Cureus

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“…In other African countries, hospital-level CS rates varied from as low as 18.2% in Senegal (Mbaye et al, 2015), up to 25.7% in Ethiopia (Tura et al, 2018) and 42.4% in South Africa (Makhanya et al, 2015). In Asia, rates range from 20.3% in Oman (Kazmi et al, 2012), to 34.3% in Indonesia (Sugianto et al, 2022), 50.5% in India (Spandana and Shivanna, 2020) 55.5% in Thailand (Sukmanee et al, 2020), and 82% in for-profit facilities in Bangladesh (Begum, 2019). In Europe, a study in Lithuania (Kacerauskiene et al, 2017) reported a rate of 22.7%, rate was as low as 16.1% in Iceland and as high as 56.9% in Cyprus (Zeitlin et al, 2021).…”

Section: Hospital Level Caesarean Section Ratementioning

confidence: 99%

Towards Optimizing Caesarean Section: Robson Ten Group Analysis of Caesarean Section and It’s Determinants in a Tertiary Hospital in South-South, Nigeria

Makinde,

Osegi

2023

J Matern Child Health

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Background: To optimize caesarean section (CS), Robson classification is useful for audit of CS rates within and across hospitals and regions. Valid conclusions are also possible by analyzing other characteristics of parturients that determine CS rates based on Robson groups. This study aimed to analyzed CS rate and determine the impact of parturients’ age and booking status on delivery by CS based on Robson classification. Subjects and Method: A cross-sectional descriptive study that classified parturients into Robson 10-groups using data from hospital records at the Federal Medical Centre Yenagoa (FMCY) in Bayelsa State, south-south, Nigeria. The dependent variable was mode of delivery. The independent variables were parturients’ age and booking status by Robson group. The study instrument was a predesigned spreadsheet used to collect real-time relevant data on all deliveries from patients’ hospital records. Descriptive statistics were presented using frequencies, percentages, mean and standard deviation. Chi-square, Exact test and logistic regression were used to determine association of parturients’ age and booking status with mode of delivery. Level of significance was p <0.05. Results: There were 556 deliveries during the study period and 269 CSs, giving a CS rate of 48.4%. Robson group 3 made the highest (27.9%) contribution to CS rate, followed by group 10 (22.3%), 5 (13.8%) and 1 (11.2%). The commonest indication for CS was cephalopelvic disproportion, followed by severe preeclampsia. Booked parturients in Robson groups 1 and 3 had 61.0% reduced odd (OR= 0.39; 95% CI = 0.15 to 0.99; p = 0.050) and 74.8% reduced odd (OR= 0.25; 95% CI= 0.14 to 0.45; p < 0.001) of delivery by CS, respectively. Conclusion: The CS rate at the FMCY was contributed largely by group 3, 10, 5 and 1 parturients. Using Robson classification, CS rate can be focused to targeted intervention to optimize CS. Keywords: caesarean section rate, hospital, Robson classification, Robson 10-group. Correspondence: Olakunle Ifeoluwa Makinde. Department of Obstetrics and Gynaecology, Federal Medical Centre Yenagoa, Bayelsa State, Nigeria. Email: olakunleife@gmail.com. Mobile: +2348032136315.

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“…Few studies had been performed to assess the CS rate in large hospitals in Jakarta and Bali. They found that the CS rate in one hospital in Jakarta was 48.0% and in Bali 34.3%, much higher than the national average, i.e., 17.7% [10][11][12]. The most common indication for CS was preterm pregnancies, followed by malpresentation, and CS in previous pregnancy [10,11].…”

Section: Introductionmentioning

confidence: 99%

Implementation of Robson classification for caesarean section using health insurance claims: the experience of Indonesia

Khoe,

Sari,

Amelia

et al. 2024

Preprint

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Robson classification has been recommended by the World Health Organization (WHO) as a monitoring tool for caesarean section (CS), however, it has not been implemented in Indonesia. In this study, we hypothesize that the National Health Insurance (NHI) claims data can be used to classify pregnant women into several obstetric groups. This study aims to examine the use of NHI claims database for analyzing CS according to the WHO manual for Robson classification. This study is a cross-sectional analysis using delivery claims from NHI sample set data from 2017 to 2018. We categorized the International Classification of Diseases (ICD) 10 codes in the claims data according to the Robson classification system using the following variables: multiple pregnancy, fetal presentation, previous obstetric record, previous CS record, gestational age, and onset of labor. Data was analyzed using IBM SPSS Statistics. A total of 31,375 deliveries were included in the analysis. Overall, mean age of mothers was 29.2±5.9 years. The CS rate in this population was 37.0% in 2017 and 38.7% in 2018. Highest CS rate was found in nulliparous (group 2: 26.6%) and multiparous women (group 4: 24.8%) if labour induced or had prelabour CS, followed by multiparous women with previous uterine scar (group 5: 22.5%). We found an alarmingly high rate of CS among Indonesian women. Implementation of Robson classification in the National Health Insurance claims data is feasible and should be considered by the policy makers as an audit tool to identify the groups that contributes the most to the CS rate.

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Caesarean Section Characteristics Based on Robson Classification at Sanglah Hospital

Cited by 3 publications

References 13 publications

Frequency of Caesarean Section Classified by Robson’s Ten Group Classification System: A Scoping Review

Frequency of Caesarean Section Classified by Robson’s Ten Group Classification System: A Scoping Review

Towards Optimizing Caesarean Section: Robson Ten Group Analysis of Caesarean Section and It’s Determinants in a Tertiary Hospital in South-South, Nigeria

Implementation of Robson classification for caesarean section using health insurance claims: the experience of Indonesia

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