Identifying children at risk of asthma exacerbations: beyond HEDIS

Jonathan Hatoun1, Emily K Trudell, Louis Vernacchio

  • 1Pediatric Physicians' Organization at Children's, 77 Pond Ave, Ste 205C, Brookline, MA 02445.

Insights

A new asthma definition using insurance claims improved detection of pediatric patients at risk for asthma exacerbations. This method offers better sensitivity and specificity than current criteria for population health monitoring.

Area of Science:

  • Pediatric Health
  • Health Informatics
  • Epidemiology

Background:

  • Asthma requires continuous population health monitoring due to its cost and variability.
  • Current insurance claims-based identification tools for asthma may be too specific.
  • Improved methods are needed to identify pediatric patients at risk of asthma exacerbations.

Purpose of the Study:

  • To evaluate various asthma definitions for improved detection of pediatric patients at risk of asthma exacerbations.
  • To compare the effectiveness of different claims-based asthma identification strategies.

Main Methods:

  • Retrospective analysis of private insurance claims for 28,363 pediatric patients (ages 2-18) with 3 years of continuous enrollment.
  • Tested multiple definitions using medication fills and diagnosis codes for asthma, wheeze, or cough.
  • Calculated sensitivity and specificity, constructing a receiver operating characteristic curve.

Main Results:

  • A definition requiring 1+ clinician visits with asthma or wheeze diagnosis over 2 years showed high efficiency (sensitivity 0.78, specificity 0.84).
  • The Healthcare Effectiveness Data and Information Set (HEDIS) persistent asthma criteria were less sensitive (0.20) but more specific (0.99).

Conclusions:

  • A less restrictive, claims-based definition can enhance the identification of pediatric patients at risk for asthma exacerbations.
  • This improved detection method can benefit population health registries and quality measurement.
  • Findings suggest moving beyond restrictive criteria like HEDIS for better asthma risk identification.
Abstract

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