Dublin Sascha, Albertson-Junkans Ladia, Pham Nguyen Thanh Phuong, Pavon Juliessa M, Hastings S Nicole, Maciejewski Matthew L, Willis Allison, Zepel Lindsay, Hennessy Sean, Albers Kathleen B, Mowery Danielle, Clark Amy G, Thomas Sunil, Steinman Michael A, Boyd Cynthia M, Bayliss Elizabeth A
Kaiser Permanente Washington Health Research Institute, Seattle, Washington, USA.
Department of Epidemiology, University of Washington, Seattle, Washington, USA.
J Am Geriatr Soc. 2025 Feb;73(2):399-410. doi: 10.1111/jgs.19280. Epub 2024 Nov 28.
Stopping or reducing risky or unneeded medications ("deprescribing") could improve older adults' health. Electronic health data can support observational and intervention studies of deprescribing, but there are no standardized measures for key variables, and healthcare systems have differing data types and availability. We developed definitions for chronic medication use and discontinuation based on electronic health data and applied them in a case study of benzodiazepines and Z-drugs in five diverse US healthcare systems.
We conducted a retrospective cohort study of adults age 65+ from 2017 to 2019 with chronic benzodiazepine or Z-drug use. We determined whether sites had access to medication orders and/or dispensings. We developed definitions for chronic use and discontinuation using both data types. Discontinuation definitions were based on (1) gaps in medication availability during follow-up or (2) not having medication available at a fixed time point. We examined the impact of varying the gap length and requiring a 30-day period without orders/dispensings ("halo") around the fixed time point. We compared results derived from orders versus dispensings at one site.
Approximately 1.6%-2.6% of older adults had chronic benzodiazepine/Z-drug use (total N = 6775, ranging from 431 to 2122 across sites). Depending on the definition and site, the proportion discontinuing use during 12 months ranged from 6% to 49%. Requiring a longer gap or a 30-day "halo" resulted in lower estimates. At one site, only 56% of those with chronic use defined from orders also qualified based on dispensings, and the discontinuation rate at 180 days was 20% from orders versus 32% from dispensings.
Requiring a gap of ≥90 days or a "halo" around a time point may more accurately capture discontinuation than using a shorter gap or no halo. Orders data underestimate discontinuation compared to dispensings. Work is needed to adapt these definitions for other drug classes and settings.
停用或减少有风险或不必要的药物(“减药”)可改善老年人的健康状况。电子健康数据可为减药的观察性研究和干预性研究提供支持,但关键变量没有标准化的衡量标准,而且医疗保健系统的数据类型和可得性各不相同。我们基于电子健康数据制定了慢性用药和停药的定义,并将其应用于美国五个不同医疗保健系统中苯二氮䓬类药物和Z类药物的案例研究。
我们对2017年至2019年期间使用慢性苯二氮䓬类药物或Z类药物的65岁及以上成年人进行了一项回顾性队列研究。我们确定各研究点是否能够获取用药医嘱和/或配药信息。我们使用这两种数据类型制定了慢性用药和停药的定义。停药定义基于以下两点:(1)随访期间用药供应的中断;或(2)在固定时间点没有药物供应。我们研究了改变中断时长以及在固定时间点周围要求30天无医嘱/配药(“缓冲期”)的影响。我们比较了一个研究点从医嘱数据和配药数据得出的结果。
约1.6%-2.6%的老年人长期使用苯二氮䓬类药物/Z类药物(总数N = 6775,各研究点范围为431至2122)。根据定义和研究点的不同,12个月内停药的比例在6%至49%之间波动。要求更长的中断时长或30天“缓冲期”会导致较低的估计值。在一个研究点,仅根据医嘱确定为长期用药者中,只有56%也符合基于配药的标准,180天时医嘱数据得出的停药率为20%而配药数据得出为32%。
相比于使用较短的中断时长或无缓冲期而言,要求≥90天的中断时长或在时间点周围设置“缓冲期”可能更准确地反映停药情况。与配药数据相比医嘱数据会低估停药情况。需要开展工作以使这些定义适用于其他药物类别和环境。