Volume 90, Issue 6
Articles

Comparisons of Persistence and Durability Among Three Oral Antidiabetic Therapies Using Electronic Prescription‐Fill Data: The Impact of Adherence Requirements and Stockpiling

R A Greevy Jr

Corresponding Author

E-mail address: robert.greevy@vanderbilt.edu

VA Tennessee Valley Geriatric Research Education Clinical Center (GRECC), Nashville, Tennessee, USA

Department of Biostatistics, Vanderbilt University, Nashville, Tennessee, USA

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M M Huizinga

Division of General Internal Medicine, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA

Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA

Welch Center for Prevention, Epidemiology, and Clinical Research, Johns Hopkins Medical Institutions, Baltimore, Maryland, USA

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C L Roumie

VA Tennessee Valley Geriatric Research Education Clinical Center (GRECC), Nashville, Tennessee, USA

Department of Medicine, Vanderbilt University, Nashville, Tennessee, USA

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C G Grijalva

Department of Preventive Medicine, Vanderbilt University, Nashville, Tennessee, USA

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H Murff

VA Tennessee Valley Geriatric Research Education Clinical Center (GRECC), Nashville, Tennessee, USA

Department of Medicine, Vanderbilt University, Nashville, Tennessee, USA

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X Liu

VA Tennessee Valley Geriatric Research Education Clinical Center (GRECC), Nashville, Tennessee, USA

Department of Biostatistics, Vanderbilt University, Nashville, Tennessee, USA

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M R Griffin

VA Tennessee Valley Geriatric Research Education Clinical Center (GRECC), Nashville, Tennessee, USA

Department of Medicine, Vanderbilt University, Nashville, Tennessee, USA

Department of Preventive Medicine, Vanderbilt University, Nashville, Tennessee, USA

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First published: 02 November 2011
Citations: 2

Abstract

Two important challenges are inherent in the design of studies using prescription data from electronic health records: how to define the minimum level of adherence that would qualify as “continuous drug use” and how to handle stockpiling of medications. Generally, the sensitivity of a study's conclusions to these design choices is not analyzed. In our study, covariate adjusted Cox models were used to compare persistence and durability with respect to three common oral antidiabetic therapies in a cohort of 12,697 incident users. Assuming 50% stockpiling, sulfonylurea therapy, as compared with metformin, showed a significantly lower risk of nonpersistence (changing or stopping therapy) when no gap days were allowed (HR 0.95, P = 0.032), no significant difference when 14 gap days were allowed (HR 0.99, P = 0.536), and significantly greater risk of nonpersistence when 30 gap days were allowed (HR 1.05, P = 0.046). All the drug comparisons showed statistically significant effects in both directions, the risk of nonpersistence increasing or decreasing depending on the design parameters.

Clinical Pharmacology & Therapeutics (2011); 90 6, 813–819. doi:10.1038/clpt.2011.228

Number of times cited according to CrossRef: 2

  • Comparison of Different Strategies to Measure Medication Adherence via Claims Data in Patients With Chronic Heart Failure, Clinical Pharmacology & Therapeutics, 10.1002/cpt.1378, 106, 1, (211-218), (2019).
  • Long‐term comparative safety analysis of the risks associated with adding or switching to a sulfonylurea as second‐line Type 2 diabetes mellitus treatment in a US veteran population, Diabetic Medicine, 10.1111/dme.13839, 36, 11, (1384-1390), (2018).