The Robson classification for caesarean section-A proposed method based on routinely collected health data.

ABSTRACT:

Background

With an increasing rate of caesarean sections as well as rising numbers of multiple pregnancies, valid classifications for benchmarking are needed. The Robson classification provides a method to group cases with caesarean section in order to assess differences in outcome across regions and sites. In this study we set up a novel method of classification by using routinely collected health data. We hypothesize i that routinely collected health data can be used to apply complex medical classifications and ii that the Robson classification is capable of classifying mothers and their corresponding newborn into meaningful groups with regard to outcome.

Methods and findings

The study was conducted at the coding department and the department of obstetrics and gynecology I

SUBMITTER: Triep K 

PROVIDER: S-EPMC7703923 | biostudies-literature | 2020

REPOSITORIES: biostudies-literature