ABSTRACT IT-based reminders have been one of the most promising interventions to improve medication adherence. Even with considerable research, it is not clear what types of reminders are effective for different patients and diseases and how much improvement in adherence is sustainable over time. To answer this, we conduct a systematic literature review of IT-based reminders. We utilise a six-step process reflecting the systematicity and transparency which is implemented using PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses). Then, we develop a taxonomy of reminders, using Nickerson’s method, including thirteen characteristics categorised in four different dimensions. The findings are used in deciding when and where and how to use reminders with what type of patients for how long in improving medication adherence. The subsequent detailed analysis of the articles brought numerous insights leading to the development of Comprehensive Framework for Medication Reminders (CFMR). The framework can be used by the IS researchers for developing theoretical models to study the effectiveness of interventions for improving medication adherence. The taxonomy can be extended to a multi-level taxonomy using the proposed framework and research directions and can be further evaluated using domain experts.

中文翻译：

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基于 IT 的药物依从性提醒：系统评价、分类、框架和研究方向

摘要 基于 IT 的提醒一直是提高药物依从性的最有希望的干预措施之一。即使进行了大量研究，也不清楚哪些类型的提醒对不同的患者和疾病有效，以及随着时间的推移，依从性的提高有多大是可持续的。为了回答这个问题，我们对基于 IT 的提醒进行了系统的文献回顾。我们利用六步流程来反映系统性和透明度，该流程使用 PRISMA（系统评价和元分析的首选报告项目）实施。然后，我们使用尼克森的方法开发了一个提醒分类法，包括分为四个不同维度的 13 个特征。研究结果用于决定何时、何地以及如何使用提醒，提醒何种类型的患者，以提高药物依从性多长时间。随后对文章的详细分析带来了许多见解，导致药物提醒综合框架 (CFMR) 的发展。IS 研究人员可以使用该框架来开发理论模型，以研究干预措施对提高药物依从性的有效性。可以使用提出的框架和研究方向将分类法扩展到多级分类法，并可以使用领域专家进行进一步评估。