Analysis of cesarean section rates in two German hospitals applying the 10-Group Classification System.
J Perinat Med
; 49(7): 818-829, 2021 Sep 27.
Article
en En
| MEDLINE
| ID: mdl-33827151
ABSTRACT
OBJECTIVES:
In Germany, cesarean section (CS) rates more than doubled within the past two decades. For analysis, auditing and inter-hospital comparison, the 10-Group Classification System (TGCS) is recommended. We used the TGCS to analyze CS rates in two German hospitals of different levels of care.METHODS:
From October 2017 to September 2018, data were prospectively collected. Unit A is a level three university hospital, unit B a level one district hospital. The German birth registry was used for comparison with national data. We performed two-sample Z tests and bootstrapping to compare aggregated (unit A + B) with national data and unit A with unit B.RESULTS:
In both datasets (national data and aggregated data unit A + B), Robson group (RG) 5 was the largest contributor to the overall CS rate. Compared to national data, group sizes in RG 1 and 3 were significantly smaller in the units under investigation, RG 8 and 10 significantly larger. Total CS rates between the two units differed (40.7 vs. 28.4%, p<0.001). The CS rate in RG 5 and RG 10 was different (p<0.01 for both). The most relative frequent RG in both units consisted of group 5, followed by group 10 and 2a.CONCLUSIONS:
The analysis allowed us to explain different CS rates with differences in the study population and with differences in the clinical practice. These results serve as a starting point for audits, inter-hospital comparisons and for interventions aiming to reduce CS rates.Palabras clave
Texto completo:
1
Banco de datos:
MEDLINE
Asunto principal:
Cesárea
/
Indicadores de Calidad de la Atención de Salud
/
Hospitales de Distrito
/
Hospitales Universitarios
Tipo de estudio:
Observational_studies
/
Prognostic_studies
Límite:
Adult
/
Female
/
Humans
/
Pregnancy
País como asunto:
Europa
Idioma:
En
Año:
2021
Tipo del documento:
Article