scholarly journals Examining Cesarean Delivery Rates by Race: a Population-Based Analysis Using the Robson Ten-Group Classification System

2020 ◽  
Author(s):  
Elise G. Valdes
Keyword(s):  
Cesarean Delivery ◽  
Classification System ◽  
Population Based ◽  
Group Classification

Cesarean delivery in the United States 2005 through 2014: a population-based analysis using the Robson 10-Group Classification System

2018 ◽  
Vol 219 (1) ◽  
pp. 105.e1-105.e11 ◽  
Author(s):  
Mark P. Hehir ◽  
Cande V. Ananth ◽  
Zainab Siddiq ◽  
Karen Flood ◽  
Alexander M. Friedman ◽  
...  
Keyword(s):  
United States ◽  
Cesarean Delivery ◽  
Classification System ◽  
The United States ◽  
Population Based ◽  
Group Classification

Analysis of Cesarean Delivery at Ain Shams Maternity Hospital Using the Ten Group Classification System

QJM ◽  
2021 ◽  
Vol 114 (Supplement_1) ◽  
Author(s):  
Hazem Amin Elzenini ◽  
Radwa Mansour ◽  
Ismail Mohamed Ismail Elnagar
Keyword(s):  
Cesarean Delivery ◽  
Classification System ◽  
Mode Of Delivery ◽  
Multiple Pregnancy ◽  
Fetal Distress ◽  
Maternity Hospital ◽  
Group Classification ◽  
Medical Complication ◽  
Quality Of Data ◽  
Robson Classification

Abstract Background Cesarean section is an invasive surgical procedure in which a baby is delivered through an abdominal and uterine incision & carries with it many immediate and delayed morbidity and mortality risks. Objective To evaluate the feasibility of using the Robson Ten Group Classification System (TGCS) for cesarean delivery indications at Ain Shams Maternity hospital. Methods This is a retrospective study on women who delivered by cesarean delivery at Ain Shams Maternity hospital between July 1, 2016 and June 30, 2018. All patient files have been revised and data has been collected then categorized. The indications for this mode of delivery: suspected fetal growth impairment, fetal distress, preeclampsia/eclampsia, pregnancy duration in weeks or more pre-partum hemorrhage, cephalopelvic disproportion, dystocia, failure of progress, multiple pregnancy, suspected/imminent uterine rupture, breech or other malpresentations, previous cesarean delivery, failed induction of labor, tubal ligation, sterilization, maternal request genital herpes, extensive condyloma, any other obstetric complication, any other fetal indication or any other maternal medical complication. Results 15808 women delivered in the hospital during the study period, The CS rate was 58.04%. According to the Robson classification, Group5 and Group 10 were the most represented groups (31.72% and 29.91% of population, respectively). The major contributors to the CS rate were group 5 (27.10%), group10 (14.02%).The most commonly reported indications for CS included past CS, suspected fetal distress, preeclampsia, eclampsia.These suggested the need for further discussion on CS practices Conclusion This study provides an example on how the WHO manual for Robson classification can be used in an action-oriented manner for developing recommendations for improving the QoC, and the quality of data collected.

scholarly journals Auditing the cesarean section rate by Robson’s ten group classification system at Tertiary Care Hospital.

2020 ◽  
Vol 27 (04) ◽  
pp. 700-706
Author(s):  
Mehak Asim Khan ◽  
Irum Sohail ◽  
Maria Habib
Keyword(s):  
Cesarean Section ◽  
Classification System ◽  
Tertiary Care ◽  
Population Based ◽  
Group Classification ◽  
Care Hospital ◽  
Cross Sectional ◽  
Lower Segment Cesarean Section ◽  
Gynecology And Obstetrics ◽  
Group 5

Objectives: To analyze the trends of cesarean sections, categorize them into Robson’s Ten Group Classification System (RTGCS), to identify the groups contributing the most to overall lower segment cesarean section (LSCS) rate and to formulate strategies for reducing these rates. Study Design: Cross sectional population based study. Setting: Gynecology and Obstetrics Department of Kahuta Research Laboratories (KRL) hospital, Islamabad. Period: From 1st Nov, 2017 to 30th April, 2018. Material & Methods: The births during this period were distributed into the RTGCS on the basis of past obstetric history and fetal characteristics along with mode of onset of labour. Overall LSCS rate was calculated and contribution of each group was analyzed separately by SPSS version 23. Results: Our study showed 617 LSCS out of 964 deliveries making a high LSCS rate of 64%. Group 5, 2 and 10 of RTGCS contributed to the majority of LSCS performed with the percentages of 47.5%, 18.5% and 12.8% respectively. Group 5 of RTGCS which contributed to the highest LSCS rate had 354 subjects which were previous scars out of which 199 had previous 1 scar making the percentage 56.21%. It contributed 32.3% to the overall LSCS rate. Conclusion: RTGCS is a very useful tool for auditing the LSCS rate at local, national and international levels. Once the LSCS are classified into specific RTGCS, analysis can be done about the reasons for the increasing rates of LSCS and then strategies can be devised to reduce them.

Analysis of cesarean delivery at Assiut University Hospital using the Ten Group Classification System

2013 ◽  
Vol 123 (2) ◽  
pp. 119-123 ◽  
Author(s):  
Hany Abdel-Aleem ◽  
Omar M. Shaaban ◽  
Ahmed I. Hassanin ◽  
Alaa A. Ibraheem
Keyword(s):  
Cesarean Delivery ◽  
Classification System ◽  
Group Classification ◽  
University Hospital

scholarly journals Variation between hospital caesarean delivery rates when Robson’s classification is considered: An observational study from a French perinatal network

PLoS ONE ◽  
2021 ◽  
Vol 16 (8) ◽  
pp. e0251141
Author(s):  
Thibaud Quibel ◽  
Patrick Rozenberg ◽  
Camille Bouyer ◽  
Jean Bouyer
Keyword(s):  
Classification System ◽  
Organizational Factors ◽  
Population Based ◽  
Group Classification ◽  
Maternal Characteristics ◽  
Logistic Regression Models ◽  
Perinatal Network ◽  
Paris Area ◽  
Variation Explained ◽  
Hospital Characteristics

Introduction WHO has recommended using Robson’s Ten Group Classification System (TGCS) to monitor and analyze CD rates. Its failure to take some maternal and organizational factors into account, however, could limit the interpretation of CD rate comparisons, because it may contribute to variations in hospital CD rates. Objective To study the contribution of maternal socioeconomic and clinical characteristics and hospital organizational factors to the variation in CD rates when using Robson’s ten-group classification system for CD rate comparisons. Methods This prospective, observational, population-based study included all deliveries at a gestational age > 24 weeks at the 10 hospitals of the French MYPA perinatal network in the Paris area. CD rates were calculated for each TGCS group in each hospital. Interhospital variations in these rates were investigated with hierarchical logistic regression models to quantify the variation explained by differences in patient and hospital characteristics when the TGCS is considered. Variations in CD rates between hospitals were estimated with median odds ratios (MOR) to express interhospital variance on the standard odds ratio scale. The percentage of variation explained by TGCS and maternal and hospital characteristics was also calculated. Results The global CD rate was 24.0% (interhospital range: 17–32%). CD rates within each TGCS group differed significantly between hospitals (P<0.001). CD was significantly associated with maternal age (>40 years), severe preeclampsia, and two organizational factors: hospital status (private maternities) and the deliveries per staff member per 24 hours. The MOR in the empty model was 1.27 and did not change after taking the TGCS into account. Adding maternal characteristics and hospital organizational factors lowered the MOR to 1.14 and reduced the variation between hospital CD rates by 70%. Conclusion Maternal characteristics and hospital factors are needed to address variation in CD rates among the TGCS groups. Therefore, comparisons of these rates that do not consider these factors should be interpreted carefully.

Sign in / Sign up

Export Citation Format

Share Document