RESUMO
OBJECTIVE: We aimed to understand the utilization of the mode of delivery and related risk factors. Further aimed to apply the Robson classification system to evaluate the data quality and analyze the CS rates in subgroups. METHODS: We conducted a retrospective descriptive study by reviewing the medical records of all women who delivered at the State Hospital in 2019. A proforma was developed for extracting data from patient records. All women with six obstetric parameters were categorized into Robson groups to determine the absolute and relative contributions of each group to the overall CS rate. RESULTS: Of 797 deliveries, 401 (50.2%) were CSs. Being older, being Turkish Cypriot, having preterm births, previous CS, multiple fetuses, and having breech or transverse fetal presentations were related to having higher risks of CS. The most common medical indication for CSs (52.3%) was a history of previous CSs. Robson Group 5 contributed the most (50.7%) to the overall CS rate, with the highest absolute contribution of 21.8%. Group 10 and Group 8 were the second and third highest contributors to the overall CS rate, with relative contributions of 25.3% and 9.0%, respectively. CONCLUSIONS: Findings revealed the substandard quality of obstetric data and a noticeably high overall CS rate. The top priority should be given to improving the quality of medical records. It underscored the necessity of implementing the Robson classification system as a standard clinical practice to enhance data quality, which helps to effectively evaluate and monitor the CS rates in obstetric populations.
Caesarean section rates are increasing worldwide, and the Robson Classification System is recommended by the WHO to evaluate and monitor the CS rates. This study is the first to use Robson classifications and revealed high CS rates in specific subgroups of the obstetric population. The inadequate, substandard data quality highlighted the areas that urgently needed improvement in clinical practices at the largest state hospital. The study lays the foundation for further nationwide studies and demonstrates the importance of the Robson classification system. Specific recommendations were provided to the hospital management for improving the quality of the obstetric data and monitoring CS rates.
