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Dataset Information

Prognostic algorithms for post-discharge readmission and mortality among mother-infant dyads: an observational study protocol.


ABSTRACT:

Introduction

In low-income country settings, the first six weeks after birth remain a critical period of vulnerability for both mother and newborn. Despite recommendations for routine follow-up after delivery and facility discharge, few mothers and newborns receive guideline recommended care during this period. Prediction modelling of post-delivery outcomes has the potential to improve outcomes for both mother and newborn by identifying high-risk dyads, improving risk communication, and informing a patient-centered approach to postnatal care interventions. This study aims to derive post-discharge risk prediction algorithms that identify mother-newborn dyads who are at risk of re-admission or death in the first six weeks after delivery at a health facility.

Methods

This prosp

SUBMITTER: Wiens MO 

PROVIDER: S-EPMC10911031 | biostudies-literature | 2023

REPOSITORIES: biostudies-literature