提高农村地区结核病患者治疗依从性的数字协作框架

O. Daramola, Peter Nysaulu
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引用次数: 5

摘要

一般来说,由于药物依从性的提高,治疗结果得到改善。然而,现有的依从性监测方法如直接观察治疗(DOT)、视频观察治疗(VOT)和直接/间接监测技术的结果需要改进。本文介绍了数字协作框架(DCF)的概念,该框架涉及许多利益相关者,以便在患者的治疗过程中进行个性化治疗依从性监测。该框架旨在加强多个利益攸关方在监测结核病治疗依从性方面的合作。利益攸关方包括卫生保健工作者、家人和朋友,他们能够支持接受结核病治疗的患者积极坚持治疗行为。为了做到这一点,一个可穿戴的户外防水智能手表通过低功耗蓝牙(BLE)连接与结核病患者的智能手机配对。然后将其与移动应用服务相结合来实现DCF。该框架将使实时数据收集和分析成为可能,从而促进对结核病患者个体结核病治疗依从性的差异化监测。通过使用样例用例和响应场景来突出DCF的适用性。
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A Digital Collaborative Framework for Improved Tuberculosis Treatment Adherence of Patients in Rural Settings
Generally, treatment outcomes are known to improve due to improved medication adherence. However, the outcomes of existing adherence monitoring methods such as Direct Observation Therapy (DOT), Video Observation Therapy (VOT), and Direct/Indirect Monitoring Technology need to improve. This paper introduces the notion of a digital collaborative framework (DCF) that involves many stakeholders for personalized treatment adherence-monitoring in the treatment journey of a patient. The framework is conceived to strengthen the collaboration of multiple stakeholders in monitoring adherence to Tuberculosis (TB) treatment. The stakeholders include Healthcare workers (HCW), family, and friends who are able to support the patients on TB treatment for positive adherence behaviour. To do this, a wearable outdoor, and waterproof smartwatch paired with the smartphone of the TB patient via Bluetooth Low Energy (BLE) connectivity. This is then combined with a mobile app service are to realize a DCF. The framework will enable real-time data collection and analytics to stimulate differentiated monitoring of individual TB patients for TB treatment adherence. The applicability of the DCF is highlighted by using a sample use case and a response scenario.
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