评估移动医疗环境中药物依从性和副作用提醒

N. Singh, U. Varshney
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引用次数: 0

摘要

提醒是一个非常有前途的干预措施,以提高药物依从性在移动卫生环境。从已发表的文献来看,本研究发现提醒的有效性差异很大,并且没有对提醒的副作用进行研究。为了解决这些问题,本文开发了一个分析模型来评估不同类型的药物依从性提醒。该模型还用于估计提醒的副作用。结果表明,在移动医疗环境中,情境感知提醒比简单提醒更能提高患者的服药依从性。简单和持久的提醒也会比上下文相关的提醒带来更多的副作用。本研究的结果将有助于患者、医疗保健提供者、研究人员和政策制定者改善药物依从性的决策。未来的工作可以包括开发智能提醒,以满足患者、医疗保健专业人员和付款人在个性化、性能、长期有效性、可靠性和健康结果方面的不同需求。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Evaluating Reminders for Medication Adherence and Side Effects in M-Health Environment
Reminders are a very promising intervention for improving medication adherence in mobile health environment. From the published literature, this research find that effectiveness of reminders varies widely and side effects of reminders have not been studied. To address these, this article develops an analytical model to evaluate different types of reminders for medication adherence. The model is also used to estimate side effects of the reminders. The results indicate that context-aware reminders perform better than simple reminders in improving medication adherence for willing patients in mobile health environment. Simple and persistent reminders also lead to more side effects than context-aware reminders. The results of this study will be useful for patients, healthcare providers, researchers and policy makers in improved decision making for medication adherence. The future work can include development of smart reminders to meet different requirements of patients, healthcare professionals and payers in terms of personalization, performance, long-term effectiveness, reliability, and health outcomes.
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