Evaluation of a pediatric asthma high-risk scoring algorithm

Harold J Farber1, Edwin A Silveira, Robert Moore

  • 1Pulmonary Medicine Service, Texas Children's Hospital, 6701 Fannin St, Suite 1040.00, Houston, TX 77030.

Insights

A new asthma risk score identifies children at high risk for hospitalization and emergency department (ED) visits. This tool helps stratify risk for Medicaid-insured children with asthma, improving targeted interventions.

Area of Science:

  • Pediatric Pulmonology
  • Health Services Research
  • Clinical Informatics

Background:

  • Asthma is a leading cause of pediatric hospitalizations and emergency department (ED) visits.
  • Identifying high-risk pediatric asthma patients is crucial for timely intervention and resource allocation.

Purpose of the Study:

  • To develop and validate an asthma risk scoring algorithm for children insured by Medicaid.
  • To assess the algorithm's ability to predict asthma-related hospitalizations and ED visits.

Main Methods:

  • Retrospective analysis of health plan claims data from Texas Children's Health Plan.
  • Algorithm development using parameters including prior asthma hospitalizations, ED visits, medication dispensing, provider numbers, and follow-up status.
  • Risk score performance evaluated by predicting future asthma hospitalizations and ED visits.

Main Results:

  • The asthma risk score demonstrated predictive performance, with Area Under the Curve (AUC) ranging from 0.72-0.79 for children aged 3-17 years and 0.65-0.69 for those aged 1-2 years.
  • A risk score of 1 or greater identified 20-23% of pediatric asthma patients but accounted for 53-56% of subsequent asthma hospitalizations.
  • 16-18% of children aged 3-17 years with a risk score of 9 or greater were hospitalized.

Conclusions:

  • The developed asthma risk score effectively stratifies risk for hospitalization and ED visits in Medicaid-insured children.
  • The risk score shows better predictive accuracy in older children (3-17 years) compared to younger children (1-2 years).
Abstract

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