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Comparison of methods to assess medication adherence and classify nonadherence
Richard A Hansen1, Mimi M Kim, Liping Song
1Division of Pharmaceutical Outcomes and Policy, Eshelman School of Pharmacy, University of North Carolina at Chapel Hill, Campus Box 7360, 2205 Kerr Hall, Chapel Hill, NC 27599, USA. rahansen@unc.edu
Patient self-report, pharmacy refill, and electronic monitoring show similar medication adherence estimates. Refill and electronic measures had the highest agreement, with an 80% threshold balancing sensitivity and specificity.
Area of Science:
- Pharmacoeconomics and Health Outcomes Research
- Clinical Pharmacy and Practice
- Patient Adherence Studies
Background:
- Suboptimal medication adherence presents challenges for clinicians and researchers in identifying nonadherent patients.
- Existing adherence measures lack consensus regarding data acceptability and definitions of nonadherence.
Purpose of the Study:
- To evaluate agreement between patient self-report, pharmacy refill, and electronic adherence measures.
- To compare the sensitivity and specificity of various cut-points for defining medication nonadherence.
Main Methods:
- Analysis of data from two randomized controlled trials on pharmacist interventions for medication adherence in hypertension or heart failure.
- Adherence measurement via patient self-report, prescription refill records, and electronic monitoring devices.
- Assessment of inter-measure agreement using Spearman's correlation coefficient (rho) and Fisher's Z transformation; calculation of sensitivity and specificity for different adherence cut-points.
Main Results:
- Median adherence rates were 84% (self-report), 86% (electronic), and 91% (refill).
- Pharmacy refill and electronic measures exhibited the strongest agreement (rho = 0.48).
- Patient characteristics like age, depression, and comorbidities influenced measure agreement. An 80% adherence cut-point demonstrated a balanced sensitivity and specificity across measures.
Conclusions:
- All adherence measures yielded comparable overall adherence estimates, with refill and electronic methods showing the highest concordance.
- Selection of an adherence measure should account for population and disease-specific factors influencing measurement agreement.
- A commonly used 80% adherence threshold offers a reasonable balance of sensitivity and specificity for studies involving patients with heart failure or hypertension.
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