scholarly journals Retrospective study of cesarean section by using the Robson’s ten group classification system

2018 ◽  
Vol 7 (3) ◽  
pp. 1054
Author(s):  
Manoj Bhatt ◽  
Gunvant Kadikar ◽  
Dipti C. Parmar ◽  
Medha Kanani
Keyword(s):  
Cesarean Section ◽  
Classification System ◽  
Group Classification ◽  
Cesarean Section Rate ◽  
Vaginal Birth After Cesarean ◽  
Relative Contribution ◽  
Study Institute ◽  
Group 5 ◽  
Previous Cesarean ◽  
Group 1

Background: The present study was done to determine the relative contribution of each of ten groups of robson´s classification to overall cesarean section rate and identify modifiable group for intervention to reduce the cesarean rate.Methods: Retrospective review of record of cesarean section from the statistical Dept of Obstetrics and Gynecology sir T. hospital, Bhavnagar from January 2017 to October 2017 and classify them in to Robson´s ten group classification system to find out total number of cesarean among total number of delivery in above 10 months duration.Results: Total number of delivery in my study institute in 10 months was 3804 out of them 1182 was cesarean section, so the overall cesarean section rate in Sir T. hospital, Bhavnagar was 31%. Group 1 (Nulliparous, single cephalic, >37 weeks in spontaneous labor), 2 (Nulliparous, single cephalic, >37 weeks, induced or CS before labor) and 5 (Previous CS, single cephalic, >37 weeks) contributes for around 66% of total cesarean. Group 5 (Previous CS, single cephalic, >37 weeks) was the major contributor among all. Least common cause of cesarean was group 8 (All multiple pregnancies (including previous CS)) and group 9 (All abnormal lies including previous CS).Conclusions: Incidence of cesarean was more common with patient having previous cesarean section. So, to decrease cesarean rate trial of labour should be given to the patient who was suitable for vaginal birth after cesarean section. Adequate assessment of pelvis and giving trial to patient having borderline pelvis also decrease the rate of cesarean in primi gravid (group 1).

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.

Classification of Cesarean Sections in Small Private Maternity Hospitals as assessed by the Modified Robson Criteria (Canada)

2016 ◽  
Vol 8 (2) ◽  
pp. 107-112
Author(s):  
Kishore Bhanudasrao Atnurkar ◽  
Arun Ramkrishnarao Mahale
Keyword(s):  
Cesarean Section ◽  
Cesarean Section Rate ◽  
Cesarean Sections ◽  
Section Data ◽  
Maternity Hospitals ◽  
Multiparous Women ◽  
Group 5 ◽  
Previous Cesarean ◽  
Group 1

ABSTRACT Aims To assess 15 years’ cesarean section data from small private maternity hospitals by the Modified Robson Criteria (Canada). To identify the groups that need to be focused to reduce the cesarean section rate. Materials and methods Classification of 7,342 cesarean section cases carried out over a period of 15 years from different small private maternity hospitals run by a single obstetrician was done using the Modified Robson Criteria (Canada). The contribution made by each group and subgroup was studied. Results About 50% of cesarean section cases occur in groups 1 and 2. The second largest group was group 5 (28.61%). A little over three-fourth of the contribution (78.12%) was made by nulliparous and previous cesarean section cases done at term with cephalic presentation. About one-tenth of the total cases belonged to the group of multiparous women. Conclusion The Modified Robson Criteria give us more clarity and allow perfect targeting. It is necessary to target group 1, 2B, and 5C to bring down the cesarean section rate in private maternity hospitals as the total of these subgroups makes it to little over 60%. How to cite this article Atnurkar KB, Mahale AR. Classification of Cesarean Sections in Small Private Maternity Hospitals as assessed by the Modified Robson Criteria (Canada). J South Asian Feder Obst Gynae 2016;8(2):107-112.

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 Assessment of Caesarean Section Rates at Kathmandu Model Hospital Using the Robson’s Ten Group Classification System

2020 ◽  
Vol 17 (4) ◽  
pp. 491-494 ◽  
Author(s):  
Rekha Poudel ◽  
Ganesh Dangal ◽  
Aruna Karki ◽  
Hema Kumari Pradhan ◽  
Ranjana Shrestha ◽  
...  
Keyword(s):  
Caesarean Section ◽  
Classification System ◽  
Caesarean Section Rate ◽  
Group Classification ◽  
Vaginal Birth ◽  
Previous Caesarean Section ◽  
Group 5 ◽  
Group 2 ◽  
Vaginal Birth After Caesarean ◽  
Group 1

Background: Aims of this study was to assess the caesarean section rate and identify the indications contributing to the same using the Robson’s Ten Group Classification System at Kathmandu Model Hospital.Methods: This was a retrospective study conducted at Kathmandu Model Hospital among women who underwent caesarean section from 1 January to 31 December, 2018 and were grouped according to Ten Group Classification System. The overall caesarean section rate and the contribution of each group was calculated.Results: The overall caesarean section rate was 66.1% (494 among 747 total deliveries) in 2018. Nullipara, singleton cephalic, >= 37 weeks, spontaneous labor (Group 1) was the major (24.2%) contributor to the overall caesarean section rate followed by previous caesarean section, singleton cephalic, >=37 weeks (Group 5, 22.6%) and nullipara, singleton cephalic, >=37 weeks, induced or caesarean section before labor (Group 2, 18.8%). Also, the caesarean section rate was 49.5% in nullipara, thus increasing the trend of caesarean section for previous caesarean section in future.Conclusions: Efforts must be focused more on Group 1, 2 and 5 to decrease the increasing trend of caesarean section Promoting vaginal delivery in nullipara and facilitating vaginal birth after caesarean are the most relevant areas of intervention. Keywords: Caesarean section; Robson ten group classification system; vaginal birth after caesarean.

Analysis of caesarean section rates using Robsons ten group classification: the first step

2017 ◽  
Vol 6 (8) ◽  
pp. 3481 ◽  
Author(s):  
Sowmya Koteshwara ◽  
Sujatha M. S.
Keyword(s):  
Caesarean Section ◽  
Pregnant Women ◽  
Cross Sectional Study ◽  
Group Classification ◽  
Cross Sectional ◽  
Medical College ◽  
Relative Contribution ◽  
Group 5 ◽  
Group 2 ◽  
Group 1

Background: The Caesarean section (CS) rate is steadily increasing worldwide including India. The overall CS rates are reported but rarely the women are classified. According to WHO Robson ten –group classification is useful as a global standard for assessing, monitoring and comparing cesarean section rates. Our objective was to classify women delivering in our hospital according to various categories as per the 10-group classification (Robsons classification) and analyzing the CS rate in each group.Methods: This was a cross sectional study conducted at JSS Medical College, Mysore. The data was collected for all women delivering in hospital from January 2016-December 2016 and the women were classified according to Robsons 10 group classification. The proportion of women delivering in each group, the CS rate of each group, and the relative contribution to CS rate from each group was calculated.Results: Among a total of 5016 women delivering during the study period 37.65% of women were delivered by CS. Maximum no of pregnant women belonged to primigravida group (group 1 and 2). Major contributor to CS rate were primigravida (group 2) at 32.2%. Next contributors were group 5 and group 1 at 28.9 % and 18.6% respectively. Overall the three groups 1, 2 and group 5 contributed to 79.7% of the CS rate while the other group contributed to only 21.3% of CS rate.Conclusions: Applying Robsons criteria to classify pregnant women allowed for easy classification to identify the category of women most likely to have CS. Reducing primary CS rate and increasing VBAC rates will help to reduce CS rate. 

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 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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