Patterns of effective medication adherence: The role of wireless interventions

N. Singh, U. Varshney
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引用次数: 13

Abstract

Medication non-adherence is a key and growing public health concern. About half of the annual prescriptions dispensed in the United States are not taken as prescribed. Most of the studies focus on improving medication adherence using interventions, including interventions based on wireless and mobile technologies. However, these studies measure only average medication adherence. This is helpful in understanding the high and low level of adherence between patients. However, the patterns of adherence are likely to have significant impact on the effectiveness of medications and outcomes. In this paper, we apply wireless based interventions to improve the patterns of effective medication adherence. The interventions include simple reminders, persistent reminders, and context aware reminders. As part of performance evaluation, we study if the change in adherence pattern due to reminders lead to higher or lower effective adherence. Our results show that (1) reminders can improve the pattern and average value of medication adherence, but may lead to undesirable drug events; (2) context-aware reminders can improve both the pattern and average value of adherence without increasing the undesirable drug events. The results have significant implications for medication adherence and interventions for healthcare system and researchers studying adherence and interventions.
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有效的药物依从模式:无线干预的作用
服药不遵医嘱是一个关键且日益严重的公共卫生问题。在美国,每年约有一半的处方没有按处方服用。大多数研究集中于使用干预措施改善药物依从性,包括基于无线和移动技术的干预措施。然而,这些研究仅衡量平均药物依从性。这有助于理解患者之间的高依从性和低依从性。然而,依从性的模式可能会对药物的有效性和结果产生重大影响。在本文中,我们应用基于无线的干预措施来改善有效的药物依从性模式。干预措施包括简单提醒、持久提醒和上下文感知提醒。作为绩效评估的一部分,我们研究了由于提醒而导致的依从模式的变化是否会导致更高或更低的有效依从性。结果表明:(1)提醒可以改善服药依从性的模式和平均值,但也可能导致不良服药事件的发生;(2)情境感知提醒可以改善依从性模式和平均值,但不会增加不良药物事件。研究结果对医疗保健系统的药物依从性和干预措施以及研究依从性和干预措施的研究人员具有重要意义。
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