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Comparisons of persistence and durability among three oral antidiabetic therapies using electronic prescription-fill data: the impact of adherence requirements and stockpiling.

机译:使用电子处方填充数据比较三种口服降糖药的持久性和持久性:依从性要求和储备的影响。

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摘要

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.
机译:使用来自电子健康记录的处方数据进行的研究设计中固有的两个重要挑战:如何定义符合“连续用药”标准的最低依从水平以及如何处理药品库存。通常,不分析研究结论对这些设计选择的敏感性。在我们的研究中,使用协变量校正的Cox模型比较了12697名事件使用者中三种常见的口服降糖药的持久性和持久性。假设库存量为50%,与二甲双胍相比,磺脲类药物治疗在无间隔天时(HR 0.95,P = 0.032)显示出非持续性(改变或停止治疗)的风险显着降低,而在14间隔天时无显着差异。 (HR 0.99,P = 0.536),并且在允许间隔30天的情况下,出现非持久性的风险明显更高(HR 1.05,P = 0.046)。所有药物比较均显示出在两个方向上的统计学显着效果,取决于设计参数,非持久性风险增加或减少。

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