ArticleCurrent medical research and opinion2020
Statistical considerations for medication adherence research.
Article in Current medical research and opinion, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
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Who cites it
16 citing papers in PubMed.
- Association of diabetes medication adherence quality measure performance with A1c control among Medicare Advantage beneficiaries.Journal of managed care & specialty pharmacy · 2026Article
- Medication Adherence in Children and Adults Receiving Treatment for Attention Deficit Hyperactivity Disorder (ADHD) in Sweden: A Nationwide Study.Journal of attention disorders · 2026Article
- Real-world analysis of medication adherence and cost of care for comorbid conditions in patients with early Alzheimer's disease in the U.S.Neurodegenerative disease management · 2026Article
- Housing Cost Burden and Outcomes Among Medicaid Beneficiaries With Heart Failure.JAMA health forum · 2026Article
- Real-world phosphorodiamidate morpholino oligomer treatment patterns in Duchenne muscular dystrophy: a claims-based analysis.Journal of comparative effectiveness research · 2025Article
- Impact of the family doctor system on medication adherence among type 2 diabetes patients in China: a difference-in-differences analysis.BMC public health · 2025Article
- Editorial: Mathematical modeling of medication nonadherence.Frontiers in pharmacology · 2025Article
- Identifying the Relative Importance of Factors Influencing Medication Compliance in General Patients Using Regularized Logistic Regression and LightGBM: Web-Based Survey Analysis.JMIR formative research · 2024Article
- Imatinib Adherence and Persistence in Patients with Chronic Myeloid Leukemia in Belgium: Evidence from Real-World Data.Patient preference and adherence · 2024Article
- Estimating medication adherence from Electronic Health Records: comparing methods for mining and processing asthma treatment prescriptions.BMC medical research methodology · 2023Article
- Effect of CGM Access Expansion on Uptake Among Patients on Medicaid With Diabetes.Diabetes care · 2023Article
- Article
- Delta T, a Useful Indicator for Pharmacy Dispensing Data to Monitor Medication Adherence.Pharmaceutics · 2022Article
- Adherence and persistence in patients with rheumatoid arthritis at an integrated health system specialty pharmacy.Journal of managed care & specialty pharmacy · 2021Article
- Pharmacist Interventions to Improve Specialty Medication Adherence: Study Protocol for a Randomized Controlled Trial.Drugs - real world outcomes · 2020Article
- Pharmacist Interventions to Improve Specialty Medication Adherence: Study Protocol for a Randomized Controlled Trial.Drugs - real world outcomes · 2020Article
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2 authors.
Funding
Abstract
objectiveMedication non-adherence is a widespread problem and has been known to be associated with worse health outcomes and increased healthcare costs. Although many measures of adherence have been developed, their usage is not consistent across studies. Furthermore, statistical methods for analyzing adherence measures have not been rigorously evaluated.
methodsUsing Proportion of Days Covered (PDC), a commonly used adherence measure, we examine the variability inherent to study inclusion criteria and several variations of the PDC calculation method using a motivating data example. We illustrated
resultsOur sensitivity analysis showed that parameter estimates can vary greatly depending on the rules for determining the study end date in calculating PDC, or the minimum number of fills in defining the cohort. In simulation studies, logistic regression had lower power than ordinal logistic and negative binomial regression models. Naivete to treatment was an important predictor of adherence and omitting it from statistical models can lead to inflated type I errors.
conclusionsWe discourage dichotomizing adherence data as it results in low power. The negative binomial model offers advantages in modeling adherence data, as it avoids the problematic use of a ratio in regression models. The ordinal logistic regression is robust to distributional assumptions with greater power, but naivete to treatment should be adjusted to reserve type I error rate. We also provide a recommendation for defining the observation window in calculating PDC.
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