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IT-based reminders for medication adherence: systematic review, taxonomy,framework and research directions

机译:基于IT的提醒用于药物遵守:系统评价,分类,框架和研究方向

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摘要

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.
机译:基于IT的提醒是提高药物遵守的最有前途的干预措施之一。即使具有相当大的研究,目前尚不清楚不同类型的提醒对于不同的患者和疾病是有效的,并且随着时间的推移,遵守的依从性是多少。要回答这一点,我们对IT的提醒进行了系统的文献综述。我们利用了一种六步过程,反映了使用Prisma实施的系统性和透明度(用于系统评论和Meta-Analyzes的首选报告项目)。然后,我们使用Nickerson的方法制定提醒的分类,包括分为四个不同维度的十三个特征。这些发现用于决定何时以及何地以及如何使用带有什么类型的患者的提醒,以改善药物遵守。随后对文章的详细分析带来了许多洞察力,导致制定药物提醒的综合框架(CFMR)。该框架可以由作为研究人员开发理论模型的研究人员,以研究干预措施改善药物遵守的有效性。使用所提出的框架和研究方向可以将分类物扩展到多级分类系统,并可以使用域专家进一步评估。

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