一种监测口服溶瘤药依从性的新工具:一项初步研究

IF 2.4
Wendy Sun, R. Reeve, Timothy Ouellette, Martha Stutsky, Rachel De Jesus, Michael J Huffer, S. Mougalian
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引用次数: 1

摘要

背景:随着越来越多的口服细胞毒性药物和靶向药物的出现,不依从性是癌症治疗中的一个重要问题。虽然口服治疗可能更方便患者,测量和优化依从性是具有挑战性的。Nomi系统从“智能”处方瓶中记录实时服药行为,并将数据显示在基于网络的界面上。Nomi还可以通过短信与患者沟通,以干预不遵守规定的情况。目的:目的是报告一项28例患者试点研究的结果,旨在评估Nomi帮助服用卡培他滨(capecitabine)的患者的能力,卡培他滨是一种口服化疗药物,具有复杂的周期性方案。方法:符合条件的患者开卡培他滨治疗乳腺癌、结直肠癌、胰腺癌或胆道癌。该研究分为干预前阶段,在此期间对患者进行监测;干预阶段,在此期间启用短信功能。依从性被定义为正确剂量的次数(包括时间和数量)超过处方剂量的总次数。转换是患者在接受文本干预(来自Nomi)后服用剂量的事件。整个研究过程中的依从性是根据瓶子收集的数据计算的-我们计算了每个患者在每个周期和研究期间(干预前和干预后)的依从性评分,定义为正确剂量的数量(包括时间和数量)超过处方剂量的总数。我们根据依从性变化百分比定义了三类患者:1类(- 8%),2类(- 8%至8%)和3类(< - 8%)。结果:我们收集了28例患者的数据(24例术前/术后,4例仅术前)。平均84%的患者坚持治疗(N = 28;Sd = 11%)。在干预前,患者的自我依从性为89% (SD = 12%),干预后,他们的平均依从性为90% (SD = 6%)。大多数第1类患者表现出可观的转换率(> 35%)。第1类患者往往生活在家庭平均收入(平均$58,937)低于第2类患者(平均$77,482)和第3类患者(平均$90,972)的地区。在受访者中,56%的人表示他们希望继续使用Nomi,而67%的人表示他们会向其他人推荐Nomi。结论:这项创新技术能够实时监测、测量和干预服用卡培他滨的患者。总体上依从性很高,一些患者似乎从短信干预中获益更多。未来的工作应集中在被认为有高风险的不依从性患者。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A novel tool to monitor adherence to oral oncolytics: a pilot study
Abstract Background: Non-adherence is an important issue in cancer care as more oral cytotoxic and targeted agents become available. Although oral therapies may be more convenient for patients, measuring and optimizing adherence is challenging. The Nomi system records real-time medication taking behavior from a “smart” prescription bottle and displays the data on a web-based interface. Nomi can also communicate with patients via text message to intervene in cases of non-adherence. Aims: The objective is to report the results of a 28-patient pilot study aiming to assess Nomi’s ability to assist patients taking capecitabine, an oral chemotherapy agent with a complex, cyclical regimen. Methods: Eligible patients were prescribed capecitabine for breast, colorectal, pancreatic, or biliary cancer. The study had a pre-intervention stage, during which patients were monitored, and an intervention stage, in which the text messaging feature was enabled. Adherence was defined as the number of correct doses (both timing and quantity) over the total number of prescribed doses. Conversions were events in which patients took a dose after receiving a text intervention (from Nomi). Adherence throughout the study was calculated from the data that the bottles collected – we calculated adherence scores for each patient, during each cycle and study period (pre vs. post-intervention), defined as the number of correct doses (both timing and quantity) over the total number of prescribed doses. We defined three categories of patients by percent change in adherence: category 1 (>8%), category 2 (−8% to 8%), and category 3 (< −8%). Results: We collected data from 28 patients (24 pre/post and 4 pre-only). On average, patients were 84% adherent (N = 28; SD = 11%). During pre-intervention, patients had a self-adherence of 89% (SD = 12%), and afterwards, they had an average adherence of 90% (SD = 6%). Most of the patients in category 1 demonstrated a substantial conversion rate (> 35%). Patients in category 1 tended to live in regions with lower average household income (Mean = $58,937) than those in category 2 (Mean = $77,482) and category 3 (Mean = $90,972). Of survey respondents, 56% indicated that they would want to continue using Nomi, while 67% indicated that they would recommend it to others Conclusions: This innovative technology is able to monitor, measure and intervene for patients taking capecitabine in real-time. Adherence overall was high, and some patients appeared to benefit more from text message interventions. Future work should focus on patients deemed high risk for non-adherence.
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来源期刊
Journal of Drug Assessment
Journal of Drug Assessment PHARMACOLOGY & PHARMACY-
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