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Dataset Information

Development of a clinical prediction model for perinatal deaths in low resource settings.


ABSTRACT:

Background

Most pregnancy-related deaths in low and middle income countries occur around the time of birth and are avoidable with timely care. This study aimed to develop a prognostic model to identify women at risk of intrapartum-related perinatal deaths in low-resourced settings, by (1) external validation of an existing prediction model, and subsequently (2) development of a novel model.

Methods

A prospective cohort study was conducted among pregnant women who presented consecutively for delivery at the maternity unit of Zanzibar's tertiary hospital, Mnazi Mmoja Hospital, the Republic of Tanzania between October 2017 and May 2018. Candidate predictors of perinatal deaths included maternal and foetal characteristics obtained from routine history and physical examination at

SUBMITTER: Housseine N 

PROVIDER: S-EPMC8888338 | biostudies-literature | 2022 Feb

REPOSITORIES: biostudies-literature