scholarly journals The Ten Group Classification System (TGCS) - a common starting point for more detailed analysis

2015 ◽  
Vol 122 (5) ◽  
pp. 701-701 ◽  
Author(s):  
M Robson
Keyword(s):  
Detailed Analysis ◽  
Classification System ◽  
Group Classification ◽  
Starting Point

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 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.

Kaiserschnittraten im europäischen Vergleich

Die Hebamme ◽  
2021 ◽  
Vol 34 (06) ◽  
pp. 14-14
Keyword(s):  
Classification System ◽  
Group Classification

Die Sectioraten in den einzelnen europäischen Ländern variieren erheblich. Eine Möglichkeit, die Perinatalmedizin regional und national zu monitorisieren und vergleichbar zu machen, bietet das von der WHO propagierte Ten-Group Classification System (TGCS) nach Robson. Wie gut dies anhand der verfügbaren nationalen Daten gelingt, untersuchte nun ein europäisches Forscherteam.

scholarly journals Using the Robson 10‐Group Classification System to Compare Cesarean Birth Utilization Between US Centers With and Without Midwives

2019 ◽  
Vol 65 (1) ◽  
pp. 10-21 ◽  
Author(s):  
Denise Colter Smith ◽  
Julia C. Phillippi ◽  
Nancy K Lowe ◽  
Rachel Blankstein Breman ◽  
Nicole S. Carlson ◽  
...  
Keyword(s):  
Classification System ◽  
Group Classification ◽  
Cesarean Birth

Use of the Robson Ten Group Classification System to categorise operative vaginal delivery

2020 ◽  
Vol 60 (6) ◽  
pp. 858-864
Author(s):  
Bobby D. O’Leary ◽  
Daniel T. Kane ◽  
Nicholas Kruseman Aretz ◽  
Michael P. Geary ◽  
Fergal D. Malone ◽  
...  
Keyword(s):  
Vaginal Delivery ◽  
Classification System ◽  
Group Classification ◽  
Operative Vaginal Delivery

A Screening Methodology to Rapidly Reduce ILI Data, Visualise and Determine Most Detrimental Defects in Pipelines

2017 ◽  
Author(s):  
Nicolas O. Larrosa ◽  
Pablo Lopez-Crespo ◽  
Robert A. Ainsworth
Keyword(s):  
Finite Element Analysis ◽  
Finite Element ◽  
Detailed Analysis ◽  
Field Data ◽  
Oil And Gas ◽  
Element Analysis ◽  
Starting Point

The amount of data requiring detailed analysis from that obtained during in-line inspection (ILI)is reduced by a screening methodology. The methodology uses ILI outputs (dimensions of flaws, orientation and distance from starting point) to generate a visualisation of the pits within the pipeline, a ranking of pits in terms of sphericity (roundness) and depth, to evaluate pit density and generate the models for finite element analysis. The rendering tool allows a clearer view of defects within the pipelines and provides a simplified way to focus on critical pits. For a particular case of in-field data provided by BP, the number of pits in a 12-inch riser of 11 km length was reduced from 1750 obtained to 43, 15 or 4 requiring analysis, depending on the level of conservatism introduced by the analyst. The tool will allow Oil and Gas owners and operators to reduce the immense amount of data obtained during pigging to a much less time-consuming set for flaw assessment.

A Proposal for a System of Classification for Anthroposophic Meditation

2019 ◽  
Vol 27 (2) ◽  
pp. 77-88
Author(s):  
Terje Sparby
Keyword(s):  
Classification System ◽  
Textual Analysis ◽  
Rudolf Steiner ◽  
Future Studies ◽  
Contemporary Science ◽  
Activity Sequence ◽  
Starting Point ◽  
Close Textual Analysis ◽  
External Conditions

Background: The investigation of the specific connections between different techniques of meditation and their respective effects depends upon a classification of the meditative activity involved. Universal systems of classification need to be developed based both on traditional sources and contemporary science. In this article, a system of classification for anthroposophical meditation is proposed. Methods: The system was developed from a close textual analysis of meditation instructions given by Rudolf Steiner. The system of classification arising from the investigation was compared to three other classificatory systems that have recently been suggested. Results: The analysis resulted in a system of classification with two main branches: (1) the shared features of anthroposophical meditation and (2) the different aspects of specific anthroposophical meditations. The first branch contains the following sub-categories: understanding, internal conditions, external conditions, sequence, timeframe and dealing with hindrances. The second branch contains: source, aim, activity, sequence and timeframe. Other systems of classification tend to leave out the dimension of the meditative activity. Conclusion: The proposed classification system can be used as a starting point for further refinements of the classification of anthroposophic meditation, but it can also be used as a standard for future studies of the connections between different meditations and their effects.

Sign in / Sign up

Export Citation Format

Share Document