Preprint Article Version 1 Preserved in Portico This version is not peer-reviewed

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

Version 1 : Received: 25 June 2023 / Approved: 27 June 2023 / Online: 27 June 2023 (02:33:40 CEST)

A peer-reviewed article of this Preprint also exists.

Giaxi, P.; Gourounti, K.; Vivilaki, V.; Metallinou, D.; Zdanis, P.; Galanos, A.; Lykeridou, A. Can the Day of the Week and the Time of Birth Predict the Mode of Delivery According to Robson Classification? Healthcare 2023, 11, 2158. Giaxi, P.; Gourounti, K.; Vivilaki, V.; Metallinou, D.; Zdanis, P.; Galanos, A.; Lykeridou, A. Can the Day of the Week and the Time of Birth Predict the Mode of Delivery According to Robson Classification? Healthcare 2023, 11, 2158.

Abstract

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. 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 affect 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 a cesarean section 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. In Robson category 1 women are 73% more likely to deliver by cesarean section between 08:00 a.m. - 03:59 p.m. compared to those who give birth between 12:00 a.m. - 07:59 a.m. Also, women in group 5.1 are 16.7 times more likely to deliver by cesarean section in the morning compared to overnight deliveries. These result point out two non-clinical variables that influences the CS rate. The Robson classification system was a useful tool for the above comparisons.

Keywords

Clinical Audit; Mode of birth; Non clinical factors; Greece; Robson classification

Subject

Public Health and Healthcare, Public Health and Health Services

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