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A Longitudinal Examination of the Asthma Medication Ratio in Children with Medicaid
Annie Lintzenich Andrews1, Daniel L Brinton2, Kit N Simpson2
1Department of Pediatrics, College of Medicine, Medical, University of South Carolina, Charleston, SC, USA.
Insights
The asthma medication ratio (AMR) effectively identifies children with asthma at high risk for exacerbations. This tool can predict severe asthma attacks in children, improving risk assessment and intervention strategies.
Area of Science:
- Pediatric Pulmonology
- Health Services Research
Background:
- Asthma exacerbations in children pose a significant health burden.
- An efficient risk assessment tool for pediatric asthma exacerbations is needed.
- The asthma medication ratio (AMR) shows potential as a real-time risk indicator.
Purpose of the Study:
- To evaluate the asthma medication ratio (AMR) as a predictor of severe asthma exacerbations in Medicaid-enrolled children.
- To examine the longitudinal performance of AMR in a large pediatric asthma cohort.
Main Methods:
- Retrospective analysis of 2013-2014 Medicaid pharmacy and medical claims data.
- Inclusion of children aged 2-17 years with at least one inhaled corticosteroid claim.
- Calculation of AMR for rolling 3-month periods and logistic regression analysis to predict severe exacerbations.
Main Results:
- A cohort of 214,452 children with asthma was analyzed.
- 8-9% of children exhibited a high-risk AMR ( < 0.5) in any given period.
- High-risk AMR was associated with significantly increased odds of subsequent severe exacerbations (OR 1.7-1.9).
Conclusions:
- The asthma medication ratio (AMR) is a reliable predictor of severe asthma exacerbations in children.
- AMR can inform the development of risk assessment and communication interventions for pediatric asthma.
- This study supports the use of AMR for proactive management of childhood asthma.
Abstract:
Background/Objective: An efficient and accurate strategy for identifying children with asthma at high-risk for exacerbation is needed. The objective of this study is to conduct a longitudinal examination of the asthma medication ratio (AMR) (#of controller medication claims/(# of controller medication claims + # of rescue medication claims)) in Medicaid-funded children with asthma. This measure has the potential to be a near real-time risk assessment tool.Methods: We conducted a retrospective analysis of 2013-2014 Truven Health Medicaid data. We analyzed pharmacy and medical claims for a cohort of children with asthma. We identified patients age 2-17 years with at least one claim for an inhaled corticosteroid. We calculated an AMR for rolling 3-month periods and examined the proportion who were classified as low risk (AMR ≥ .5), high-risk (AMR < .5) and no medication claims (no asthma medication claims). Using logistic regression, we tested how the AMR predicted severe exacerbations.Results: 214,452 eligible children were identified. The mean age is 7.8 years. 8-9% had a high-risk AMR in any given period. High-risk AMR is associated with increased odds of a severe exacerbation in the subsequent 3 months (compared to all other children) (OR 1.7-1.9 depending on time period evaluated).Conclusions: In this analysis of Medicaid-insured children with asthma, we found that the AMR is a reliable predictor of exacerbations. This will inform the development of an AMR-based risk assessment and communication intervention.
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