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Inhaled Corticosteroid Adherence Patterns in a Longitudinal Asthma Cohort
Patrick C Souverein1, Ellen S Koster1, Gene Colice2
1Division of Pharmacoepidemiology and Clinical Pharmacology, Utrecht Institute for Pharmaceutical Sciences, Utrecht University, Utrecht, The Netherlands.
Analysis methods significantly impact inhaled corticosteroid (ICS) implementation estimates in asthma patients. Transparent, clinically relevant approaches are crucial for accurate medication adherence assessment.
Area of Science:
- Pharmacoeconomics and Health Outcomes Research
- Respiratory Medicine and Clinical Pharmacy
Background:
- Electronic prescribing data offers insights into medication adherence.
- Analysis methodology choices can substantially alter adherence estimates.
- Need for standardized definitions in medication adherence research.
Purpose of the Study:
- Compare different inhaled corticosteroid (ICS) implementation calculation methods.
- Assess longitudinal variation in ICS implementation within a primary care asthma cohort.
- Evaluate the impact of varying prescription gap definitions on adherence estimates.
Main Methods:
- Historical cohort study using UK's Optimum Patient Care Research Database.
- Included asthma patients initiating ICS therapy with >= 3 years registration.
- Defined ICS treatment episodes using 30-, 90-, and 182-day prescription gaps.
- Estimated implementation using Continuous Medication Availability (CMA) I and II definitions.
- Analyzed data across 6-, 12-, and 24-month observation windows.
Main Results:
- 13,922 eligible asthma patients analyzed.
- Mean ICS implementation varied from 81.1% (182-day gap) to 97.0% (30-day gap) using CMA I.
- CMA II showed varying concordance (0.69-0.87) with CMA I.
- Significant between- and within-patient variance observed (ICC: 0.30-0.36).
Conclusions:
- Analysis methodology significantly influences ICS implementation estimates.
- Transparency and clinical relevance in methodology are essential for accurate adherence assessment.
- Differentiating medication persistence from implementation is critical for targeted clinical interventions.
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