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Factors Associated with Poor Controller Medication Use in Children with High Asthma Emergency Department Use

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Date 2017 Mar 4
PMID 28254203
Citations 11
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Abstract

Background: Understanding health and social factors associated with controller medication use in children with high-risk asthma may inform disease management in the home and community.

Objective: To examine health and social factors associated with the Asthma Medication Ratio (AMR), a measure of guideline-based care and controller medication use, in children with persistent asthma and frequent emergency department (ED) use.

Methods: Study questionnaires, serum allergen sensitization, salivary cotinine, and pharmacy record data were collected for 222 children enrolled from August 2013 to February 2016 in a randomized clinical trial that tested the efficacy of an ED- and home-based intervention. Logistic regression was used to examine factors associated with an AMR greater than 0.50, reflecting appropriate controller medication use.

Results: Most children were male (64%), African American (93%), Medicaid insured (93%), and classified as having uncontrolled asthma (44%). Almost half (48%) received non-guideline-based care or low controller medication use based on an AMR less than 0.50. The final regression model predicting an AMR greater than 0.50 indicated that children receiving specialty care (odds ratio [OR], 4.87; 95% confidence interval [CI], 2.06-11.50), caregivers reporting minimal worry about medication adverse effects (OR, 0.50; 95% CI, 0.25-1.00), positive sensitization to ragweed allergen (OR, 3.82; 95% CI, 1.63-8.96), and negative specific IgE for dust mite (OR, 0.33; 95% CI, 0.15-0.76) were significantly associated with achieving an AMR greater than 0.50.

Conclusion: Clinical decision making for high-risk children with asthma may be enhanced by identification of sensitization to environmental allergens, ascertaining caregiver's concerns about controller medication adverse effects and increased referral to specialty care.

Trial Registration: ClinicalTrials.gov Identifier: NCT01981564.

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