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Towards a mobile system for hypertensive outpatients' treatment adherence improvement

机译:迈向改善高血压门诊治疗依从性的移动系统

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Covering more than a third of the population, arterial hypertension is a debilitating disease resulting in the adverse effect on the physical and emotional state of the patient and, hence, exerting the negative influence on the patient health- related quality of life. Treatment of hypertension involves the use of specific drug therapy along with a modification of a lifestyle and a diet over a long-term period. This, in turn, leads to the low adherence to the treatment among the ambulatory patients and, as a consequence, increases the chances of the hypertension-related complications, including the risk of sudden cardiac death. To address the problem of low adherence, we have previously proposed the mobile personal monitoring and assisting system constructed on the principles of smart spaces. The system relies on joint processing of both objective and subjective health measures accumulated in semantic ontology-driven storage enabling the construction of the personalized assisting services. In this paper, we extend the approach putting into consideration behaviour activities and interventions. Moreover, we propose the adherence assessment method based on the variety of user engagement measures, which also can be divided into subjective questionnaire-based measures, and objective metrics based on behaviour analysis and mobile app analytics.
机译:覆盖超过三分之一的人口,动脉高血压是一种使人衰弱的疾病,对患者的身体和情绪状态产生不利影响,因此对患者健康相关的生活质量产生负面影响。高血压的治疗涉及长期使用特定药物疗法以及改变生活方式和饮食习惯。反过来,这导致非卧床患者对治疗的依从性低,结果,增加了与高血压有关的并发症的机会,包括心脏猝死的风险。为了解决依从性差的问题,我们先前提出了一种基于智能空间原理构建的移动个人监控和辅助系统。该系统依赖于语义本体驱动存储中累积的客观和主观健康措施的联合处理,从而可以构建个性化的辅助服务。在本文中,我们扩展了将行为活动和干预考虑在内的方法。此外,我们提出了一种基于各种用户参与度的依从性评估方法,该方法也可以分为基于主观问卷的度量和基于行为分析和移动应用程序分析的客观度量。

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