Development of caesarean section prediction models: secondary analysis of a prospective cohort study in two sub-Saharan African countries.

ABSTRACT:

Background

Caesarean section is recommended in situations in which vaginal birth presents a greater likelihood of adverse maternal or perinatal outcomes than normal. However, it is associated with a higher risk of complications, especially when performed without a clear medical indication. Since labour attendants have no standardised clinical method to assist in this decision, statistical tools developed based on multiple labour variables may be an alternative. The objective of this paper was to develop and evaluate the accuracy of models for caesarean section prediction using maternal and foetal characteristics collected at admission and through labour.

Method

This is a secondary analysis of the World Health Organization's Better Outcomes in Labour Difficulty prospective co

SUBMITTER: de Souza HCC 

PROVIDER: S-EPMC6854746 | biostudies-literature | 2019 Nov

REPOSITORIES: biostudies-literature