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Dataset Information

Development and validation of a risk prediction model for medication administration errors among neonates in the neonatal intensive care unit: a study protocol.


ABSTRACT:

Introduction

Medication administration errors (MAEs) are the most common type of medication error. Furthermore, they are more common among neonates as compared with adults. MAEs can result in severe patient harm, subsequently causing a significant economic burden to the healthcare system. Targeting and prioritising neonates at high risk of MAEs is crucial in reducing MAEs. To the best of our knowledge, there is no predictive risk score available for the identification of neonates at risk of MAEs. Therefore, this study aims to develop and validate a risk prediction model to identify neonates at risk of MAEs.

Methods and analysis

This is a prospective direct observational study that will be conducted in five neonatal intensive care units. A minimum sample size of 820 drug prep

SUBMITTER: Henry Basil J 

PROVIDER: S-EPMC9923322 | biostudies-literature | 2023 Feb

REPOSITORIES: biostudies-literature