scholarly journals Cesarean section rates in Lithuania using Robson Ten Group Classification System

Medicina ◽  
2015 ◽  
Vol 51 (5) ◽  
pp. 280-285 ◽  
Author(s):  
Eglė Barčaitė ◽  
Gintarė Kemeklienė ◽  
Dalia Regina Railaitė ◽  
Arnoldas Bartusevičius ◽  
Laima Maleckienė ◽  
...  
Keyword(s):  
Cesarean Section ◽  
Classification System ◽  
Group Classification

scholarly journals Analysis of Cesarean Sections using Robson’s Ten Group Classification System

2021 ◽  
Vol 37 (2) ◽  
Author(s):  
Rashida Parveen ◽  
Mehnaz Khakwani ◽  
Anum Naz ◽  
Rabia Bhatti
Keyword(s):  
Cesarean Section ◽  
Classification System ◽  
Fetal Distress ◽  
Group Classification ◽  
Care Hospital ◽  
Cesarean Sections ◽  
Previous Cesarean Section ◽  
Group 10 ◽  
Group 5 ◽  
Previous Cesarean

Objective: To analyze trends of CSs and evaluating them according to Robson’s Ten Groups Classification System (TGCS) at a leading government tertiary care hospital of South Punjab, Pakistan. Methods: This cross-sectional study was conducted at Department of Obstetrics and Gynaecology, Nishtar Medical University Hospital, Multan Pakistan, from October 2019 to March 2020.The study population included a total of 167 women who underwent CS in the hospital during the specified study period. For each case, we collected data regarding maternal characteristics and pregnancy-related information. The dependent variable was Robson classification group. Results: Overall, mean age was 26.53+5.1 years. Majority of the women, 116 (69.5%) belonged to urban areas of residence, 74 (44.3%) gestational aged between 37-42 years while 108 (64.7%) had history of cesarean section. Most of the patients, 85 (50.9%) turned out to be from TGCS Group-10. Group-5 and Group-1 were the 2nd and 3rd most common group, accounted for 24 (14.4%) and 19 (11.4%) cases respectively. Previous cesarean section (20.4%) and fetal distress (19.8%) were found to be most common indications leading to cesarean section. Conclusion: As per Robson’s Ten-Group Classification, Group-10 and Group-5 were found to be the most contributing among deliveries done. Previous cesarean section and fetal distress were the most common indications of cesarean section. doi: https://doi.org/10.12669/pjms.37.2.3823 How to cite this:Parveen R, Khakwani M, Naz A, Bhatti R. Analysis of Cesarean Sections using Robson’s Ten Group Classification System. Pak J Med Sci. 2021;37(2):---------. doi: https://doi.org/10.12669/pjms.37.2.3823 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

scholarly journals Analysis of Cesarean Section at a Tertiary care centre in Eastern Nepal according to Robson's Ten Group classification System (TGCS): A hospital based cross sectional study.

2020 ◽  
Vol 5 (3) ◽  
pp. 1171-1175
Author(s):  
Anamika Das ◽  
Ajay Agrawal ◽  
Sangeeta Bhandari ◽  
Sanyukta Rajbhandari ◽  
Surya Prasad Rimal
Keyword(s):  
Cesarean Section ◽  
Classification System ◽  
Tertiary Care ◽  
Relative Size ◽  
Group Classification ◽  
Health Care Facilities ◽  
Cesarean Section Rate ◽  
Sectional Study ◽  
Tertiary Care Centre ◽  
The Absolute

Introduction: Cesarean sectionis on the rising trend,so WHO proposes that health care facilities uses the Robson's 10 group classification system to audit their Cesarean section rates. This classification will helpto developstrategies to reduce these rates. Objective: The objective of this study was to classify the women coming for delivery into the 10 Robson’s group,to interpret the 10 group classification and to know the highest rate of cesarean section in the group. Methodology: This was a hospital basedcross sectional study carried out in the Department of Obstetrics and Gynaecology, for a period of 6months. All women undergoing deliverywere recruited for study .Based onthe  patient’s obstetric parameters, women were assigned to one of 10 groups as per Robson’s 10-group classification system.The relative size of each group, the cesarean section rate in each group, and the absolute and relative contributions to the overall cesarean section rate was then reported. Results: During the study period, the overall Cesarean Section rate was 33.40%.Highest contribution was by Robson's Group 2(Nulliparous, single cephalic, ≥ 37 weeks, induced or CS before labor(9.84%) followed by Group 1(Nulliparous, single cephalic, ≥ 37 weeks, in spontaneous labor)(7.73%) and Group 5(Previous CS, single cephalic, ≥ 37 weeks)  (5.75%). Least contribution was by Groups 8(All multiple pregnancies (including previous CS)and 9[All abnormal lies (including previous CS)]0.20% and 0.27% respectively. All women in group 9(all abnormal lies including previous CS)had 100% Cesarean rate. Conclusions: With reductions in the primary cesarean section rates and encouragingpatients forVBACcould reduce the contribution of Robson's groups towards the absolute Cesarean Section rates.

Analysis of cesarean section rates in two German hospitals applying the 10-Group Classification System

2021 ◽  
Vol 0 (0) ◽  
Author(s):  
Christina Pulvermacher ◽  
Patricia Van de Vondel ◽  
Lydia Gerzen ◽  
Ulrich Gembruch ◽  
Thomas Welchowski ◽  
...  
Keyword(s):  
Cesarean Section ◽  
Classification System ◽  
Group Classification ◽  
University Hospital ◽  
National Data ◽  
Birth Registry ◽  
Aggregated Data ◽  
Levels Of Care ◽  
Starting Point ◽  
Group 5

Abstract Objectives In Germany, cesarean section (CS) rates more than doubled within the past two decades. For analysis, auditing and inter-hospital comparison, the 10-Group Classification System (TGCS) is recommended. We used the TGCS to analyze CS rates in two German hospitals of different levels of care. Methods From October 2017 to September 2018, data were prospectively collected. Unit A is a level three university hospital, unit B a level one district hospital. The German birth registry was used for comparison with national data. We performed two-sample Z tests and bootstrapping to compare aggregated (unit A + B) with national data and unit A with unit B. Results In both datasets (national data and aggregated data unit A + B), Robson group (RG) 5 was the largest contributor to the overall CS rate. Compared to national data, group sizes in RG 1 and 3 were significantly smaller in the units under investigation, RG 8 and 10 significantly larger. Total CS rates between the two units differed (40.7 vs. 28.4%, p<0.001). The CS rate in RG 5 and RG 10 was different (p<0.01 for both). The most relative frequent RG in both units consisted of group 5, followed by group 10 and 2a. Conclusions The analysis allowed us to explain different CS rates with differences in the study population and with differences in the clinical practice. These results serve as a starting point for audits, inter-hospital comparisons and for interventions aiming to reduce CS rates.

scholarly journals Robsons Ten Group Classification of Cesarean Section at a Tertiary Center in Nepal

2021 ◽  
Vol 19 (1) ◽  
pp. 91-96
Author(s):  
Gehanath Baral ◽  
Alish Shrestha ◽  
Arati Sah ◽  
Aswani Kumar Gupta
Keyword(s):  
Cesarean Section ◽  
Classification System ◽  
Group Classification ◽  
Quality Of Data ◽  
Cesarean Birth ◽  
Robson Classification ◽  
Tertiary Center ◽  
Preterm Group ◽  
Obstetric Population

Background: Increasing trend in Ceasarean birth is the issue of both demand and supply side. One of the recommended tools to characterize every pregnancy admitted for childbirth is Robson ten-group classification system that may evaluate obstetric practice. The aim of the study was to assess the cesarean section pattern based on Robson’s classification in a central referral hospital.Methods: A retrospective census of childbirths at Paropakar Maternity and Women’s Hospital in Kathmandu performed from September 2018 to February 2019 based on obstetric record. Robson ten-group classification system was the research tool to collect data and Robson Classification Report Table was used to evaluate the data.Results: There were 10500 births with 34% (32-35%) overall cesarean section rate. Excluding spontaneous and induced labor the supposedly total prelabor CS is 14.5%. Group 1+2+3 size is 81% and 21% CS; 5+10 had 11.3% and 23.3% respectively. Prelabor CS (2b+4b) is 3.54% and additional 11% from malpresentation and preterm. Group CS rate from Class 5 onwards, and ratio of 1 and 2 are as recommended by Robson; 67% of CS were not picked up by Robson class due to indications evolved as the labor progresses and the attributes not pre-classified.Conclusions: The assessed quality of data and the type of obstetric population by Robson reference values prove this study as a representative research. But the indications of cesarean sections can be predicted for only one-third of pregnancy attributes classified by Robson class. To supplement this tool to reduce rising cesarean birth requires audit of indications at decision making level.Keywords: Cesarean section; indication; prediction; robson classification

scholarly journals Use of a Classification Tool to Determine Groups of Women That Contribute to the Cesarean Section Rate: Establishing a Baseline for Clinical Decision Making and Quality Improvement

2012 ◽  
Vol 2 (2) ◽  
pp. 85-95 ◽  
Author(s):  
Valerie Slavin ◽  
Jennifer Fenwick
Keyword(s):  
Cesarean Section ◽  
Classification System ◽  
Clinical Decision Making ◽  
Breech Presentation ◽  
Clinical Decision ◽  
Models Of Care ◽  
Group Classification ◽  
External Cephalic Version ◽  
Cesarean Section Rate ◽  
Classification Tool

OBJECTIVE:To identify the groups of women who are the largest contributors to the cesarean section rate at a maternity facility in South East Queensland, Australia. Examining the characteristics of these women will allow the development of unit-focused initiatives aimed at reducing cesarean sections in these groups of women.METHOD:A modified version of the Robson Ten Group Classification System was identified as the most appropriate tool to determine cesarean section rates in different groups of women. A prospective clinical audit was then carried out during a 6-month period in 2010 using the tool.FINDINGS:The Robson Ten Group Classification System identified that planned repeat cesarean section was the largest contributor to the cesarean rate. This was followed by women having their first baby, women having an induction, and women who have a breech presentation at term.CONCLUSIONS AND IMPLICATIONS:The Robson classification tool was useful in identifying groups of women at risk of a cesarean section. Unit-specific strategies can now be developed and implemented in an effort to lower the rate. These include increasing the vaginal birth after cesarean rate, the uptake of external cephalic version, supporting nonintervention birth environments, and implementing models of care where clinicians are skilled in facilitating normal birth. The value of using such a tool is the ability to monitor change over time as well as facilitating the comparison of data between units of a similar nature.

scholarly journals Cesarean Section Rate Analysis in a Tertiary Hospital in Portugal According to Robson Ten Group Classification System

2020 ◽  
Vol 42 (06) ◽  
pp. 310-315
Author(s):  
Sara Vargas ◽  
Susana Rego ◽  
Nuno Clode
Keyword(s):  
Cesarean Section ◽  
Classification System ◽  
Tertiary Hospital ◽  
Group Classification ◽  
World Health ◽  
Rate Analysis ◽  
Vaginal Deliveries ◽  
The World ◽  
Obstetric Population ◽  
Health Organization

Abstract Objective The Robson 10 group classification system (RTGCS) is a reproducible, clinically relevant and prospective classification system proposed by the World Health Organization (WHO) as a global standard for assessing, monitoring and comparing cesarean section (CS) rates. The purpose of the present study is to analyze CS rates according to the RTGCS over a 3-year period and to identify the main contributors to this rate. Methods We reviewed data regarding deliveries performed from 2014 up to 2016 in a tertiary hospital in Portugal, and classified all women according to the RTGCS. We analyzed the CS rate in each group. Results We included data from 6,369 deliveries. Groups 1 (n = 1,703), 2 (n = 1,229) and 3 (n = 1,382) represented 67.7% of the obstetric population. The global CS rate was 25% (n = 1,594). Groups 1, 2, 5 and 10 were responsible for 74.2% of global CS deliveries. Conclusion As expected, Groups 1, 2, 5 and 10 were the greatest contributors to the overall CS rate. An attempt to increase the number of vaginal deliveries in these groups, especially in Groups 2 and 5, might contribute to the reduction of the CS rate.

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.

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