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Leveraging Mobile Sensing to Understand and Develop Intervention Strategies to Improve Medication Adherence
IEEE Pervasive Computing ( IF 1.6 ) Pub Date : 2020-07-01 , DOI: 10.1109/mprv.2020.2993993
Anna N Baglione 1 , Jiaqi Gong 2 , Mehdi Boukhechba 1 , Kristen J Wells 3 , Laura E Barnes 4
Affiliation  

Interventions to improve the medication adherence have had limited success and can require significant human resources to implement. Research focused on improving medication adherence has undergone a paradigm shift, of late, with a shift toward developing personalized, theory-driven interventions. The current research integrates foundational and translational science to implement a mechanism-focused, context-aware approach. Increasing adoption of mobile and wearable sensing systems presents new opportunities for understanding how medication-taking behaviors unfold in natural settings, especially in populations who have difficulty adhering to medications. When combined with survey and ecological momentary assessment data, these mobile and wearable sensing systems can directly capture the context of medication adherence in situ, including personal, behavioral, and environmental factors. The purpose of this article is to present a new transdisciplinary research framework in medication adherence, highlight critical advances in this rapidly evolving research field, and outline potential future directions for both research and clinical applications.

中文翻译:

利用移动传感了解和制定干预策略以提高药物依从性

改善药物依从性的干预措施取得的成功有限,可能需要大量人力资源才能实施。最近,专注于提高药物依从性的研究经历了范式转变,转向开发个性化、理论驱动的干预措施。目前的研究整合了基础科学和转化科学,以实施以机制为中心、情境感知的方法。越来越多地采用移动和可穿戴传感系统为了解服药行为在自然环境中如何展开提供了新的机会,尤其是在难以坚持服药的人群中。当结合调查和生态瞬时评估数据时,这些移动和可穿戴传感系统可以直接捕获原位服药依从性的背景,包括个人、行为和环境因素。本文的目的是提出一个新的药物依从性跨学科研究框架,突出这一快速发展的研究领域的关键进展,并概述未来研究和临床应用的潜在方向。
更新日期:2020-07-01
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