Projects per year
Abstract
There is no surgical intervention without risk. A high rate of caesarean sections (CSs) impacts on maternal and newborn mortality and morbidity. For optimisation of the CS rate, regular monitoring is necessary. In 2015, the World Health Organization recommended the Robson classification as a global standard for assessing, monitoring, and comparing CS rates. We analysed all births in 2019 in the Riga Maternity Hospital-a secondary-level monodisciplinary perinatal care hospital in Latvia-according to the Robson classification, seeking to identify which groups make the biggest contribution to the overall CS rate. In total, 5835 women were included. The overall CS rate was 21.5%. In our study, the largest contributors to the overall CS rate were as follows: Group 5 (33.3%); Group 2 (20.8%); and Group 1 (15.6%). The results of our deeper analysis of individual groups (Group 1 and 5) from our study may help to develop targeted interventions for specific subgroups of the obstetric population, effectively reducing both the overall rate of CS and the number of unnecessary CSs performed. The CS rate reduction strategy should be based on decreasing CSs in Group 1 and encouraging VBAC, thus decreasing the number of women undergoing two or more CSs in future
Original language | English |
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Article number | 6426 |
Journal | Journal of Clinical Medicine |
Volume | 12 |
Issue number | 19 |
DOIs | |
Publication status | Published - 9 Oct 2023 |
Keywords*
- audit
- Robson classification
- caesarean birth
- caesarean section
- caesarean rate
Field of Science*
- 3.2 Clinical medicine
Publication Type*
- 1.1. Scientific article indexed in Web of Science and/or Scopus database
Fingerprint
Dive into the research topics of 'In-Depth Analysis of Caesarean Section Rate in the Largest Secondary Care-Level Maternity Hospital in Latvia'. Together they form a unique fingerprint.Projects
- 1 Finished
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Role of metabolome, biomarkers and ultrasound parameters in successful labour induction
Vedmedovska, N. (Project leader), Rezeberga, D. (Leading expert), Rācene, L. (Expert (PhD student)), Ķīse, L. (Expert), Riekstiņa, M. (Expert), Gersone, G. (Expert), Isajeva, L. (Expert (PhD student)) & Čupeca, H. (Expert (PhD student))
3/01/22 → 30/12/24
Project: Fundamental and Applied Research Programme