Primary adherence to medications for the treatment of major depressive disorder: A descriptive study using real-world data.

IF 3.3 4区 医学 Q2 HEALTH CARE SCIENCES & SERVICES
Ann Von Holle, Jeff T Mohl, Rachael B Zuckerman, Jennifer Obenrader, Elizabeth L Ciemins
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引用次数: 0

Abstract

Background: Primary adherence (PA) to a medication occurs when a patient fills a newly prescribed medication within a predefined window. Failing to fill a necessary medication can have adverse downstream clinical consequences and increased costs. The extent of PA to major depressive disorder (MDD)-related medications in the United States is not well understood.

Objective: To describe overall primary adherence rates to MDD-related medications, both the initial prescription and at each subsequent switch in the patient's treatment journey.

Methods: We used deidentified electronic health record (EHR) and claims data from the Optum Labs Data Warehouse, a national, longitudinal, real-world data asset containing data on more than 350 million patients. Within an index period (1/1/2021 to 12/31/2022), a PA event was recorded when a medication fill occurred within 30 days after the initial index prescription of a new medication class, where new classes were defined as having no prescription for that class in the preceding 180 days. A medication switch was defined as a prescription for a different medication than the immediately preceding prescribed medication. Patient characteristics and PA outcomes were summarized by (1) medication class, (2) counts of total medication switches during the index period, and (3) order of medication switches.

Results: Overall, PA to the index medication was 75%. PA did not vary substantively across medication classes, ranging from 74% (tricyclic class) to 77% (atypical class). Approximately 15% of the sample switched MDD-related medications during the index period, and among this sample, PA to all medications decreased as the number of switches increased, declining from 59% for 1 prescription switch to less than 37% for 4 switches. Among patients with at least 1 switch, PA declined as the number of switches increased from the first switch (70%) to the fourth switch (57%).

Conclusions: PA to initial prescriptions is relatively high although adherence declined with medication switching. This pattern represents a critical clinical vulnerability, which can be addressed through approaches such as education, medication regimen management, and follow-up visits with care providers to promote PA, increase treatment efficacy, and avoid adverse long-term outcomes. Future research should identify barriers to adherence during medication optimization and develop targeted interventions to sustain treatment persistence.

对治疗重度抑郁症药物的初步依从性:一项使用真实世界数据的描述性研究。
背景:初始依从性(PA)发生在患者在预定义的窗口内服用新开的药物时。不按时服用必要的药物可能会产生不良的下游临床后果,并增加成本。在美国,PA对重度抑郁症(MDD)相关药物的影响程度尚不清楚。目的:描述对mdd相关药物的总体主要依从率,包括初始处方和患者治疗过程中的每个后续转换。方法:我们使用来自Optum实验室数据仓库的未识别电子健康记录(EHR)和索赔数据,该数据仓库是一个全国性的、纵向的、真实世界的数据资产,包含超过3.5亿患者的数据。在索引期内(2021年1月1日至2022年12月31日),当在新药物类别的初始索引处方后30天内发生药物填充时,记录PA事件,其中新药物类别被定义为在前180天内没有该类别的处方。药物转换被定义为与之前的处方药物不同的药物处方。通过(1)用药类别、(2)指标期内总用药切换次数、(3)用药切换顺序对患者特征和PA结局进行总结。结果:总体而言,PA对指标用药的贡献率为75%。PA在不同药物类别之间没有实质性差异,范围从74%(三环类)到77%(非典型类)。在指标期内,约有15%的样本切换了与mdd相关的药物,在这些样本中,随着切换次数的增加,所有药物的PA都在下降,从1次处方切换的59%下降到4次切换的不到37%。在至少有一个开关的患者中,随着开关数量从第一个开关(70%)增加到第四个开关(57%),PA下降。结论:初始处方的PA相对较高,但依从性随药物转换而下降。这种模式代表了一个关键的临床脆弱性,可以通过教育、药物治疗方案管理和与护理提供者的随访等方法来解决,以促进PA,提高治疗效果,避免不良的长期结果。未来的研究应该确定药物优化过程中依从性的障碍,并制定有针对性的干预措施来维持治疗的持久性。
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来源期刊
Journal of managed care & specialty pharmacy
Journal of managed care & specialty pharmacy Health Professions-Pharmacy
CiteScore
3.50
自引率
4.80%
发文量
131
期刊介绍: JMCP welcomes research studies conducted outside of the United States that are relevant to our readership. Our audience is primarily concerned with designing policies of formulary coverage, health benefit design, and pharmaceutical programs that are based on evidence from large populations of people. Studies of pharmacist interventions conducted outside the United States that have already been extensively studied within the United States and studies of small sample sizes in non-managed care environments outside of the United States (e.g., hospitals or community pharmacies) are generally of low interest to our readership. However, studies of health outcomes and costs assessed in large populations that provide evidence for formulary coverage, health benefit design, and pharmaceutical programs are of high interest to JMCP’s readership.
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