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Dataset Information

Development of a Computable Phenotype for Prehospital Pediatric Asthma Encounters.


ABSTRACT:

Introduction

Asthma exacerbations are a common cause of pediatric Emergency Medical Services (EMS) encounters. Accordingly, prehospital management of pediatric asthma exacerbations has been designated an EMS research priority. However, accurate identification of pediatric asthma exacerbations from the prehospital record is nuanced and difficult due to the heterogeneity of asthma symptoms, especially in children. Therefore, this study's objective was to develop a prehospital-specific pediatric asthma computable phenotype (CP) that could accurately identify prehospital encounters for pediatric asthma exacerbations.

Methods

This is a retrospective observational study of patient encounters for ages 2-18 years from the ESO Data Collaborative between 2018 and 2021. We modified two

SUBMITTER: Harmon I 

PROVIDER: S-EPMC11579243 | biostudies-literature | 2025

REPOSITORIES: biostudies-literature