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Can the Day of the Week and the Time of Birth Predict the Mode of Delivery According to Robson Classification?

Worldwide, the cesarean section rate has steadily increased from 6.7% in 1990 to 21.1% in 2018 and is expected to rise even more. The World Health Organization propose the adoption of the Robson classification system as a global standard for monitoring, evaluating, and comparing delivery rates. The...

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Autores principales: Giaxi, Paraskevi, Gourounti, Kleanthi, Vivilaki, Victoria, Metallinou, Dimitra, Zdanis, Panagiotis, Galanos, Antonis, Lykeridou, Aikaterini
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10418404/
https://www.ncbi.nlm.nih.gov/pubmed/37570398
http://dx.doi.org/10.3390/healthcare11152158
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author Giaxi, Paraskevi
Gourounti, Kleanthi
Vivilaki, Victoria
Metallinou, Dimitra
Zdanis, Panagiotis
Galanos, Antonis
Lykeridou, Aikaterini
author_facet Giaxi, Paraskevi
Gourounti, Kleanthi
Vivilaki, Victoria
Metallinou, Dimitra
Zdanis, Panagiotis
Galanos, Antonis
Lykeridou, Aikaterini
author_sort Giaxi, Paraskevi
collection PubMed
description Worldwide, the cesarean section rate has steadily increased from 6.7% in 1990 to 21.1% in 2018 and is expected to rise even more. The World Health Organization propose the adoption of the Robson classification system as a global standard for monitoring, evaluating, and comparing delivery rates. The purpose of the current study is to use the Robson classification system to investigate how, independently of medical factors, the day of the week and time of delivery may be related to the mode of birth. In the sample analysis, we included the records of 8572 women giving birth in one private health facility in Greece. Over 60% of deliveries during the study period were performed by cesarean section, 30.6% by vaginal delivery, and 8.5% of deliveries were performed by operative vaginal delivery. The results of this study indicate that the lowest birth rates are observed on Monday, Saturday, and Sunday. Nulliparous women with no previous cesarean delivery, with a singleton in cephalic presentation ≥37 weeks with spontaneous labor (group 1) are 73% more likely to deliver by cesarean section between 08:00 A.M. and 03:59 P.M. compared to those who give birth between 12:00 A.M. and 07:59 A.M. Also, multiparous women with a single cephalic term pregnancy and one previous cesarean section (group 5.1) are 16.7 times more likely to deliver by cesarean section in the morning compared to overnight deliveries. These results point out two non-clinical variables that influences the CS rate. The Robson classification system was a useful tool for the above comparisons.
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spelling pubmed-104184042023-08-12 Can the Day of the Week and the Time of Birth Predict the Mode of Delivery According to Robson Classification? Giaxi, Paraskevi Gourounti, Kleanthi Vivilaki, Victoria Metallinou, Dimitra Zdanis, Panagiotis Galanos, Antonis Lykeridou, Aikaterini Healthcare (Basel) Article Worldwide, the cesarean section rate has steadily increased from 6.7% in 1990 to 21.1% in 2018 and is expected to rise even more. The World Health Organization propose the adoption of the Robson classification system as a global standard for monitoring, evaluating, and comparing delivery rates. The purpose of the current study is to use the Robson classification system to investigate how, independently of medical factors, the day of the week and time of delivery may be related to the mode of birth. In the sample analysis, we included the records of 8572 women giving birth in one private health facility in Greece. Over 60% of deliveries during the study period were performed by cesarean section, 30.6% by vaginal delivery, and 8.5% of deliveries were performed by operative vaginal delivery. The results of this study indicate that the lowest birth rates are observed on Monday, Saturday, and Sunday. Nulliparous women with no previous cesarean delivery, with a singleton in cephalic presentation ≥37 weeks with spontaneous labor (group 1) are 73% more likely to deliver by cesarean section between 08:00 A.M. and 03:59 P.M. compared to those who give birth between 12:00 A.M. and 07:59 A.M. Also, multiparous women with a single cephalic term pregnancy and one previous cesarean section (group 5.1) are 16.7 times more likely to deliver by cesarean section in the morning compared to overnight deliveries. These results point out two non-clinical variables that influences the CS rate. The Robson classification system was a useful tool for the above comparisons. MDPI 2023-07-28 /pmc/articles/PMC10418404/ /pubmed/37570398 http://dx.doi.org/10.3390/healthcare11152158 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Giaxi, Paraskevi
Gourounti, Kleanthi
Vivilaki, Victoria
Metallinou, Dimitra
Zdanis, Panagiotis
Galanos, Antonis
Lykeridou, Aikaterini
Can the Day of the Week and the Time of Birth Predict the Mode of Delivery According to Robson Classification?
title Can the Day of the Week and the Time of Birth Predict the Mode of Delivery According to Robson Classification?
title_full Can the Day of the Week and the Time of Birth Predict the Mode of Delivery According to Robson Classification?
title_fullStr Can the Day of the Week and the Time of Birth Predict the Mode of Delivery According to Robson Classification?
title_full_unstemmed Can the Day of the Week and the Time of Birth Predict the Mode of Delivery According to Robson Classification?
title_short Can the Day of the Week and the Time of Birth Predict the Mode of Delivery According to Robson Classification?
title_sort can the day of the week and the time of birth predict the mode of delivery according to robson classification?
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10418404/
https://www.ncbi.nlm.nih.gov/pubmed/37570398
http://dx.doi.org/10.3390/healthcare11152158
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