Smart triage: Development of a rapid pediatric triage algorithm for use in low-and-middle income countries.

ABSTRACT:

Introduction

Early and accurate recognition of children at risk of progressing to critical illness could contribute to improved patient outcomes and resource allocation. In resource limited settings digital triage tools can support decision making and improve healthcare delivery. We developed a model for rapid identification of critically ill children at triage.

Methods

This was a prospective cohort study of acutely ill children presenting at Jinja Regional Referral Hospital in Eastern Uganda. Variables collected in the emergency department informed the development of a logistic model based on hospital admission using bootstrap stepwise regression. Low and high-risk thresholds for 90% minimum sensitivity and specificity, respectively generated three risk level categories. Pe

SUBMITTER: Mawji A 

PROVIDER: S-EPMC9723221 | biostudies-literature | 2022

REPOSITORIES: biostudies-literature