Development and validation of an obstetric early warning system model for use in low resource settings.

ABSTRACT:

Background

The use of obstetric early-warning-systems (EWS) has been recommended to improve timely recognition, management and early referral of women who have or are developing a critical illness. Development of such prediction models should involve a statistical combination of predictor clinical observations into a multivariable model which should be validated. No obstetric EWS has been developed and validated for low resource settings. We report on the development and validation of a simple prediction model for obstetric morbidity and mortality in resource-limited settings.

Methods

We performed a multivariate logistic regression analysis using a retrospective case-control analysis of secondary data with clinical indices predictive of severe maternal outcome (SMO). Cases f

SUBMITTER: Umar A 

PROVIDER: S-EPMC7488502 | biostudies-literature | 2020 Sep

REPOSITORIES: biostudies-literature