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Medication adherence: A method for designing context-aware reminders

机译:药物依从性:一种设计上下文感知提醒的方法

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Objectives: Several interventions have been proposed to improve medication adherence including those using reminders. Context-aware reminders can be effective because they operate when the dose is due, has not been taken, and is still safe to take. Although very promising, we find that there is no method to design context-aware reminders. To address these, we focus on proposing a method to design context-aware reminders.Methods: We conducted a systematic review of context-aware reminders for medication adherence using PRISMA approach. The analysis of literature leads to several interesting observations including the need for a method to design context-aware reminders. In this study, we present Method to Design Context-Aware Reminders (MDCAR) that can also meet special requirements. We used domain experts reasoning to evaluate the designed Context-Aware Reminders for Medication Adherence (CARS-MA). Further, we used analytical model to evaluate reliability, side effects, and cost of intervention.Results: This is the first paper that addresses "how to" design context-aware reminders. The proposed design method can lead to range of context-aware reminders including CARS-MA. The verification, validation, and evaluation of CARS-MA indicate that the context-aware reminders perform better than simple reminders in improving medication adherence.Conclusions: The proposed method for context-aware reminders will help healthcare professionals and researchers to implement and select a suitable intervention to improve medication adherence. Further, it can lead to decision support systems for patients, healthcare professionals, researchers and policy makers for medication adherence. The design method can be extended for complex scenarios of multiple medications, persistent-reminders, and composite interventions.
机译:目标:已经提出了几种改善药物依从性的干预措施,包括使用提醒措施。具有上下文意识的提醒之所以有效,是因为它们在应服药,未服药且仍可以安全服用时起作用。尽管非常有前途,但我们发现尚没有设计上下文感知提醒的方法。为了解决这些问题,我们专注于提出一种设计情境感知提醒的方法。方法:我们使用PRISMA方法对药物依从性的情境感知提醒进行了系统的回顾。对文献的分析导致了一些有趣的观察,包括需要一种设计情境感知提醒的方法。在这项研究中,我们提出了一种还可以满足特殊要求的设计上下文感知提示的方法(MDCAR)。我们使用领域专家的推理方法来评估设计的情境感知药物依从性提醒(CARS-MA)。此外,我们使用分析模型来评估可靠性,副作用和干预成本。结果:这是第一篇论述“如何”设计上下文感知提醒的论文。所提出的设计方法可以导致包括CARS-MA在内的上下文感知提醒的范围。 CARS-MA的验证,确认和评估表明,上下文感知提醒在改善药物依从性方面比简单提醒表现更好。结论:提出的上下文感知提醒方法将帮助医疗保健专业人员和研究人员实施和选择合适的方法干预以提高用药依从性。此外,它可以为患者,医疗保健专业人员,研究人员和决策者提供依从性的决策支持系统。该设计方法可以扩展到多种药物,持续性提醒和综合干预的复杂方案。

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