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Which classification system could empower the understanding of caesarean section rates in Greece? A review of systematic reviews
INTRODUCTION: Worldwide there is an alarming increase in the caesarean delivery rate which has become a controversial topic. However, the reasons for this tendency are not clear. For example, in Greece alone, rates increased by almost 50% from 1983 to 1996. In order to better understand the causes o...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
European Publishing
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9201784/ https://www.ncbi.nlm.nih.gov/pubmed/35801228 http://dx.doi.org/10.18332/ejm/147993 |
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author | Giaxi, Paraskevi Gourounti, Kleanthi Vivilaki, Victoria G. Lykeridoy, Katerina |
author_facet | Giaxi, Paraskevi Gourounti, Kleanthi Vivilaki, Victoria G. Lykeridoy, Katerina |
author_sort | Giaxi, Paraskevi |
collection | PubMed |
description | INTRODUCTION: Worldwide there is an alarming increase in the caesarean delivery rate which has become a controversial topic. However, the reasons for this tendency are not clear. For example, in Greece alone, rates increased by almost 50% from 1983 to 1996. In order to better understand the causes of this phenomenon, we need to examine closely what groups of women undergo caesarean section (CS). To achieve this, it is essential to use a system that will enable us to monitor and compare caesarean delivery rates. Such a classification system should be easily adopted by obstetricians, midwives, and public health services. METHODS: A review search of electronic databases concerning medical care was held from December 2020 to January 2021 in order to find systematic reviews which describe either theoretical or practical CS classification systems. RESULTS: The most common classification systems fall into three main categories based on indication, urgency and maternal-based characteristics. According to users the highest rated classification system was women-based classifications in general. In particular the Robson Ten Group Classification System was considered to be the most valid to meet current local and international standards. The Robson classification system is praised for its robustness, simplicity, flexibility, and reproducibility. CONCLUSIONS: The right implementation of the Robson Ten Group Classification System can facilitate an in-depth analysis of the main groups that increase CS rates and can be used to both review and monitor delivery practices both in Greece and abroad. |
format | Online Article Text |
id | pubmed-9201784 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | European Publishing |
record_format | MEDLINE/PubMed |
spelling | pubmed-92017842022-07-06 Which classification system could empower the understanding of caesarean section rates in Greece? A review of systematic reviews Giaxi, Paraskevi Gourounti, Kleanthi Vivilaki, Victoria G. Lykeridoy, Katerina Eur J Midwifery Review Paper INTRODUCTION: Worldwide there is an alarming increase in the caesarean delivery rate which has become a controversial topic. However, the reasons for this tendency are not clear. For example, in Greece alone, rates increased by almost 50% from 1983 to 1996. In order to better understand the causes of this phenomenon, we need to examine closely what groups of women undergo caesarean section (CS). To achieve this, it is essential to use a system that will enable us to monitor and compare caesarean delivery rates. Such a classification system should be easily adopted by obstetricians, midwives, and public health services. METHODS: A review search of electronic databases concerning medical care was held from December 2020 to January 2021 in order to find systematic reviews which describe either theoretical or practical CS classification systems. RESULTS: The most common classification systems fall into three main categories based on indication, urgency and maternal-based characteristics. According to users the highest rated classification system was women-based classifications in general. In particular the Robson Ten Group Classification System was considered to be the most valid to meet current local and international standards. The Robson classification system is praised for its robustness, simplicity, flexibility, and reproducibility. CONCLUSIONS: The right implementation of the Robson Ten Group Classification System can facilitate an in-depth analysis of the main groups that increase CS rates and can be used to both review and monitor delivery practices both in Greece and abroad. European Publishing 2022-06-16 /pmc/articles/PMC9201784/ /pubmed/35801228 http://dx.doi.org/10.18332/ejm/147993 Text en © 2022 Giaxi P. et al. https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution 4.0 International License. |
spellingShingle | Review Paper Giaxi, Paraskevi Gourounti, Kleanthi Vivilaki, Victoria G. Lykeridoy, Katerina Which classification system could empower the understanding of caesarean section rates in Greece? A review of systematic reviews |
title | Which classification system could empower the understanding of caesarean section rates in Greece? A review of systematic reviews |
title_full | Which classification system could empower the understanding of caesarean section rates in Greece? A review of systematic reviews |
title_fullStr | Which classification system could empower the understanding of caesarean section rates in Greece? A review of systematic reviews |
title_full_unstemmed | Which classification system could empower the understanding of caesarean section rates in Greece? A review of systematic reviews |
title_short | Which classification system could empower the understanding of caesarean section rates in Greece? A review of systematic reviews |
title_sort | which classification system could empower the understanding of caesarean section rates in greece? a review of systematic reviews |
topic | Review Paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9201784/ https://www.ncbi.nlm.nih.gov/pubmed/35801228 http://dx.doi.org/10.18332/ejm/147993 |
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