Cook Paul, Schmiege Sarah, McClean Margaret, Aagaard Laurra, Kahook Malik
University of Colorado, College of Nursing, 13120 E. 19th Ave., Campus Box C288-04, Aurora, CO 80045, USA.
West J Nurs Res. 2012 Aug;34(5):598-620. doi: 10.1177/0193945911427153. Epub 2011 Nov 18.
Although medication adherence can be measured many ways, researchers often view electronic dose monitoring devices like the Medication Event Monitoring Systems (MEMS) as more valid than patient self-reports. MEMS are popular but have potential problems. Based on the literature and MEMS data analyses, the authors suggest the following approaches: (a) a 1- to 2-month run-in should be used to reduce MEMS reactivity, (b) MEMS should be used with other measures of adherence, (c) adherence should be measured continuously, or a cutoff should be defined based on pharmacological properties of the medication and the consequences of nonadherence, (d) MEMS data usually should be aggregated weekly or monthly and evaluated using multilevel modeling, (e) MEMS-based screening for nonadherence may miss some patients in need of intervention, and (f) researchers should use strategies like training patients to use MEMS and purchasing extra MEMS caps to improve the completeness and accuracy of MEMS data.
尽管药物依从性可以通过多种方式进行测量,但研究人员通常认为诸如药物事件监测系统(MEMS)之类的电子剂量监测设备比患者自我报告更具效度。MEMS很受欢迎,但也存在潜在问题。基于文献和MEMS数据分析,作者提出以下方法:(a)应采用1至2个月的磨合期来降低MEMS的反应性,(b)MEMS应与其他依从性测量方法一起使用,(c)应持续测量依从性,或者应根据药物的药理学特性和不依从的后果定义一个临界值,(d)MEMS数据通常应每周或每月汇总,并使用多层模型进行评估,(e)基于MEMS的不依从性筛查可能会遗漏一些需要干预的患者,(f)研究人员应采用诸如培训患者使用MEMS以及购买额外的MEMS瓶盖等策略来提高MEMS数据的完整性和准确性。