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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.
Objective:
To determine if the asthma medication ratio predicts subsequent emergency department (ED) visits and hospital admissions in children.
Design:
Retrospective cohort with two year pairs.
Setting/Participants:
2007-2009 South Carolina Medicaid recipients with persistent asthma age 2-18.
Main Exposure:
Controller-to-total asthma medication ratios were calculated for each patient in 2007 and 2008. Ratios range from 0-1 (1 = ideal, 0 = no controller).
Outcome Measures:
2008 and 2009 asthma related ED visits, hospitalizations, and a combined outcome of ED visit or hospitalization in the subsequent 3, 6, and 12 month time periods.
Results:
19,512 patients were included. Mean age 8.9 years, 58% male, and 55% black. The ratio significantly predicted ED visits and hospitalizations over subsequent 3, 6, and 12 month time periods. The cut-point that maximized the ability to predict visits ranged from 0.4-0.6. A cutpoint of 0.5 was used in the final models. After controlling for age, race, gender, and rurality, patients with a ratio <0.5 were significantly more likely to have a subsequent emergent healthcare visit (OR 1.5-2.0). The ratio retained its predictive ability in both year-pairs for all three outcome variables, in all three time periods, with the exception of the 2008 ratio not predicting 2009 3-month and 6-month hospitalizations.
Conclusions:
The asthma medication ratio is a significant predictor of ED visits and hospitalizations in children. Using a cutoff of <0.5 to signal at-risk patients may be an effective way for populations who would benefit from increased use of controller medications to reduce future emergent asthma visits. CPT only copyright XXXX-2012 American Medical Association. All rights reserved. CPT is a registered trademark of the American Medical Association. Applicable FARS/DFARS Apply to Government Use. Fee schedules, relative value units, conversion factors and/or related components are not assigned by the AMA, are not part of CPT, and the AMA is not recommending their use. The AMA does not directly or indirectly practice medicine or dispense medical services. The AMA assumes no liability for data contained or not contained herein. See attached CMS CPT 2013 end user license.
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