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Towards a mobile system for hypertensive outpatients' treatment adherence improvement

机译:朝向高血压门诊病例的移动系统遵守依从性改进

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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,动脉高血压是一种衰弱的疾病,导致对患者的身体和情感状态的不利影响,因此,对患者健康相关的生活质量产生负面影响。高血压治疗涉及使用特定的药物治疗以及在长期期间的改进和饮食的修改。反过来,这导致对动态患者的治疗的低依从性,因此,增加了高血压相关并发症的机会,包括突然心死的风险。为了解决低遵守问题,我们之前提出了在智能空间原则上构建的移动个人监控和协助系统。该系统依赖于在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,从而实现了个性化辅助服务的构建。在本文中,我们延长了考虑行为活动和干预措施的方法。此外,我们提出了基于各种用户参与措施的依从性评估方法,该方法还可分为基于主观问卷的措施,以及基于行为分析和移动应用程序分析的客观指标。

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