Application of the Diagnosis Grouping System to Pediatric Emergency Department Encounters

Sriram Ramgopal1, Colleen Fant1, Jennifer R Marin2

  • 1Division of Emergency Medicine, Ann & Robert H. Lurie Children's Hospital of Chicago, Northwestern University Feinberg School of Medicine, Chicago, Illinois.

Hospital Pediatrics
|January 17, 2025
PubMed

Insights

The Diagnosis Grouping System (DGS) effectively classifies pediatric emergency department diagnoses across diverse US health systems. This study confirms DGS utility for research, showing comparable diagnostic patterns in children's emergency care.

Area of Science:

  • Health Services Research
  • Pediatric Emergency Medicine
  • Epidemiology

Background:

  • Diagnosis grouping systems are crucial for health services, epidemiological studies, and health outcomes research.
  • The Diagnosis Grouping System (DGS) was specifically developed to categorize International Classification of Diseases, 10th Revision (ICD-10) diagnosis codes for pediatric emergency department (ED) encounters.

Purpose of the Study:

  • To apply and compare the DGS to large-scale US pediatric ED encounters.
  • To evaluate the DGS's effectiveness across three distinct health system databases.

Main Methods:

  • A retrospective cross-sectional study analyzed pediatric ED encounters (younger than 18 years) from 2016 to 2021.
  • Data sources included the National Hospital Ambulatory Medical Care Survey (NHAMCS), COMPdata (Illinois), and Pediatric Health Information Systems (PHIS).
  • Principal diagnoses were categorized using the DGS, and their distributions were compared across datasets.

Main Results:

  • The study analyzed millions of pediatric ED encounters across NHAMCS, COMPdata, and PHIS datasets.
  • Trauma was the most frequent diagnosis group (17.0%–22.2%) across all datasets.
  • Specific conditions like sickle cell anemia, diabetes, appendicitis, seizures, and asthma were more prevalent in the PHIS sample.

Conclusions:

  • Comparable diagnostic distributions were observed across the analyzed datasets, with variations attributed to data source characteristics.
  • The findings establish a baseline for pediatric diagnoses, supporting future research on pediatric ED utilization.
  • The DGS demonstrates utility in classifying pediatric emergency diagnoses for research purposes.
Abstract

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