Asthma medication ratio predicts emergency department visits and hospitalizations in children with asthma

Annie Lintzenich Andrews1, Annie N Simpson2, William T Basco1

  • 1Department of Pediatrics.

Insights

The asthma medication ratio effectively predicts emergency department visits and hospitalizations in children. A ratio below 0.5 indicates a higher risk for emergent asthma care needs.

Area of Science:

  • Pediatric Pulmonology
  • Health Services Research
  • Pharmacoeconomics

Background:

  • Asthma medication adherence is crucial for managing pediatric asthma.
  • Predicting emergency healthcare utilization in children with asthma is a public health priority.
  • The controller-to-total medication ratio offers a quantifiable measure of adherence.

Purpose of the Study:

  • To evaluate the predictive value of the asthma medication ratio for subsequent emergency department (ED) visits and hospital admissions in children.
  • To identify a potential threshold for the medication ratio that signals increased risk for adverse asthma-related events.

Main Methods:

  • A retrospective cohort study was conducted using South Carolina Medicaid data from 2007-2009.
  • Persistent asthma patients aged 2-18 years were included.
  • Controller-to-total asthma medication ratios were calculated, with higher ratios indicating better adherence.

Main Results:

  • The study included 19,512 children with persistent asthma.
  • A medication ratio below 0.5 significantly predicted increased asthma-related ED visits and hospitalizations over 3, 6, and 12 months.
  • The predictive ability of the ratio was consistent across different time periods and patient subgroups, with minor exceptions.

Conclusions:

  • The asthma medication ratio serves as a significant predictor of emergent healthcare utilization in pediatric asthma patients.
  • Utilizing a cutoff ratio of less than 0.5 can help identify children at higher risk who may benefit from interventions to improve controller medication use and reduce future ED visits and hospitalizations.
Abstract

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