The GLORIA adherence subproject: problems and randomization mistakes

L. Hartman, M. Kok, E. Molenaar, E. Griep, J. Laar, J. M. Woerkom, C. Allaart, H. Raterman, Y. Ruiterman, M. Voshaar, J. Redol, R. Pinto, L. Klausch, W. Lems, M. Boers
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Abstract

Medication adherence, which is the extent to which patients take their medication as prescribed, is essential in treating chronic inflammatory diseases such as rheumatoid arthritis (RA). Therefore, we nested a subproject in the two-year multicenter Glucocorticoid Low-dose Outcome in Rheumatoid Arthritis (GLORIA) trial to add a low-dose prednisolone (5 mg/day) or placebo to the standard care in older people (≥65 years) with RA. Adherence was measured with an electronic monitoring cap that recorded bottle openings in all patients. In the subproject, we performed an adherence intervention with an advanced cap that could communicate with an application on the smart device via Bluetooth. We randomized patients with a smart device to receive or not to receive adherence reminders on the smart device for three months. Multiple problems emerged that precluded an answer to the research question: sample size (overly optimistic estimates of older patients with a smart device), logistic issues (availability of smartcaps, data extraction), randomization and treatment allocation errors (despite training of personnel), and low quality of the data in the intervention group (hardware failure, discovered too late because data was read in batches). For future trials planning to include a subproject, we recommend keeping it simple, starting with a field test before the actual study starts, and monitoring data from the beginning of the study.
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GLORIA依从性子项目:问题和随机化错误
药物依从性,即患者按处方服药的程度,在治疗慢性炎症性疾病(如类风湿关节炎)中至关重要。因此,我们在为期两年的多中心类风湿性关节炎低剂量糖皮质激素结局(GLORIA)试验中建立了一个子项目,在老年人(≥65岁)RA患者的标准治疗中添加低剂量强的松龙(5mg /天)或安慰剂。使用电子监测帽来测量依从性,记录所有患者的药瓶开口。在子项目中,我们使用了一种高级帽,可以通过蓝牙与智能设备上的应用程序进行通信。我们随机选择使用智能设备的患者,让他们在三个月内接受或不接受智能设备上的依从提醒。出现了多个问题,排除了研究问题的答案:样本量(对使用智能设备的老年患者的过于乐观的估计),后勤问题(智能帽的可用性,数据提取),随机化和治疗分配错误(尽管人员进行了培训),以及干预组的数据质量低(硬件故障,发现太晚,因为数据是分批读取的)。对于将来计划包括子项目的试验,我们建议保持简单,在实际研究开始之前从现场测试开始,并从研究开始时监测数据。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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