Chen Yu-Chieh, Kreling David H
Department of Pharmaceutical Sciences, Manchester University College of Pharmacy, 10627 Diebold Rd., Fort Wayne, IN 46845, USA.
Social and Administrative Sciences in Pharmacy, University of Wisconsin School of Pharmacy, Madison, WI, USA.
Res Social Adm Pharm. 2014 Mar-Apr;10(2):438-47. doi: 10.1016/j.sapharm.2013.06.008. Epub 2013 Jul 21.
Although the benzodiazepine exclusion policy in the U.S. Medicare Part D drug coverage program has been studied, little information is available on individual use and switching patterns between benzodiazepines and substitute medications. Patients voluntarily were continuing or stopping benzodiazepines or switching to substitute medications. These individual-level outcomes can provide information beneficial to providers and policymakers to better understand the intended and unintended consequences of exclusion policies.
The objective was to determine the effect of the Medicare Part D benzodiazepine exclusion on the utilization patterns of benzodiazepines and substitute medications by a select group of Medicare beneficiaries for a year following implementation of the exclusion. This research focused on the examination of the within-person patterns of benzodiazepine use and factors associated with these patterns.
A quasi-experimental, comparative study was used to analyze prescription patterns and multinomial regression models were applied to investigate factors predicting different benzodiazepine use patterns. Pharmacy dispensing data for continuously eligible Medicare beneficiaries with at least one benzodiazepine fill in 2005 were reduced to a comparison group of 216 individuals with continual coverage and an intervention group of 250 individuals who lost coverage for benzodiazepines. Four individual patients' drug use patterns, continuation, switch, fluid movement, and cessation were identified by sorting and arraying pharmacy dispensing data to apply systematic drug file review. Multinomial regression models were used to examine the impact of coverage, demographic, medical, economic, and pharmaceutical factors.
Significantly more Medicare seniors who lost benzodiazepine coverage switched to potential substitute medications than those who continued to have coverage. Interestingly, 12 percent of affected seniors and 6 percent of unaffected seniors switched from and back to benzodiazepines (fluid movement). Zolpidem was the most popular substitute agent despite being an expensive brand-name drug. Regression models revealed that affected individuals had nearly two times the odds of engaging in switch-related patterns than those who had continuous coverage. Also, women were twice as likely to discontinue benzodiazepines as men.
More seniors who lost benzodiazepine coverage engaged in medication switching, and women were more likely to stop benzodiazepines after the implementation of the exclusion policy.
尽管美国医疗保险D部分药品覆盖计划中的苯二氮䓬排除政策已得到研究,但关于苯二氮䓬与替代药物的个人使用及转换模式的信息却很少。患者自行决定继续或停用苯二氮䓬,或转而使用替代药物。这些个体层面的结果可为医疗服务提供者和政策制定者提供有益信息,以更好地理解排除政策的预期和非预期后果。
目的是确定医疗保险D部分苯二氮䓬排除政策对特定一组医疗保险受益人群在该排除政策实施后一年中苯二氮䓬及替代药物使用模式的影响。本研究重点考察苯二氮䓬使用的个体内模式以及与这些模式相关的因素。
采用准实验性比较研究来分析处方模式,并应用多项回归模型来调查预测不同苯二氮䓬使用模式的因素。2005年至少有一次苯二氮䓬配药记录的持续符合条件的医疗保险受益人的药房配药数据,被缩减为一个有持续保险的216人对照组和一个失去苯二氮䓬保险的250人干预组。通过对药房配药数据进行分类和排列以应用系统的药物档案审查,确定了四种个体患者的药物使用模式,即持续使用、转换、波动使用和停用。使用多项回归模型来检验保险范围、人口统计学、医疗、经济和药学因素的影响。
失去苯二氮䓬保险的医疗保险老年人转而使用潜在替代药物的比例明显高于仍有保险的老年人。有趣的是,12%的受影响老年人和6%的未受影响老年人在苯二氮䓬的使用上出现了反复(波动使用)。尽管唑吡坦是一种昂贵的品牌药物,但它是最受欢迎的替代药物。回归模型显示,受影响的个体出现与转换相关模式的几率几乎是有持续保险个体的两倍。此外,女性停用苯二氮䓬的可能性是男性的两倍。
在排除政策实施后,更多失去苯二氮䓬保险的老年人进行了药物转换,且女性更有可能停用苯二氮䓬。