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Stratifying asthma populations by medication use: how you count counts.
James H Glauber1, Anne L Fuhlbrigge
1Health Services Research Children's Hospital, Boston Harvard Medical School, Massachusetts, USA. Jim_Glauber@NHP.org
Summary
A new method for counting asthma medications, the canister-equivalent method, identifies more patients and physicians with high medication use than simple counts. This improves risk profiling for asthma disease management programs.
Area of Science:
- Pharmacoeconomics and Health Outcomes Research
- Respiratory Medicine
- Health Services Research
Background:
- Asthma management programs rely on pharmacy data for risk stratification.
- Accurate counting of prescribed asthma medications is crucial for identifying high-risk patients and suboptimal physician prescribing.
- Current methods may not fully capture medication use patterns.
Purpose of the Study:
- To compare simple dispensing counts versus a canister-equivalent method for quantifying asthma medication use.
- To evaluate differences in patient and physician risk profiles generated by each counting method.
- To assess the impact of different counting methodologies on asthma disease management strategies.
Main Methods:
- Retrospective cohort study within a group-model health maintenance organization.
- Analysis of medication use patterns in asthma patients.
- Evaluation of physician prescribing habits for asthma medications.
Main Results:
- The canister-equivalent method identified a 40% greater population with high bronchodilator and anti-inflammatory use compared to simple counts.
- Physician anti-inflammatory to bronchodilator ratios differed significantly between methods (1.50 vs. 1.08).
- 36% of physicians were reclassified into different quartiles of prescribing patterns based on the counting method used.
Conclusions:
- A novel canister-equivalent method provides a more accurate risk profile of asthma medication use than simple counts.
- Asthma disease management programs should consider adopting advanced methods for medication counting to enhance risk stratification.
- Improved accuracy in medication use assessment can lead to more effective patient outreach and physician intervention strategies.