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The new landscape of medication adherence improvement: where population health science meets precision medicine

机译:药物依从性改善的新格局:人口健康科学与精准医学的交汇

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摘要

Despite the known health and economic benefits of medications, nonadherence remains a significant, yet entirely preventable public health burden. Over decades, there have been numerous research studies evaluating health interventions and policy efforts aimed at improving adherence, yet no universal or consistently high impact solutions have been identified. At present, new challenges and opportunities in policy and the movement toward value-based care should foster an environment that appreciates adherence as a mechanism to improve health outcomes and control costs (eg, fewer hospitalizations, reduced health care utilization). Our objective was to provide a commentary on recent changes in the landscape of research and health policy directed toward improving adherence and an actionable agenda to achieve system level savings and improved health by harnessing the benefits of medications. Specifically, we address the complementary perspectives of precision medicine and population health management; integrating data sources to develop innovative measurement of adherence and target adherence interventions; and behavioral economics to determine appropriate incentives.
机译:尽管已知药物对健康和经济有好处,但不依从仍然是一个重大但完全可以预防的公共卫生负担。几十年来,已经有许多研究评估了旨在改善依从性的卫生干预措施和政策措施,但尚未找到普遍或持续有效的解决方案。当前,政策上的新挑战和机遇以及向基于价值的护理的发展应营造一种环境,使人们认识到依从性是改善健康结果和控制成本的一种机制(例如,更少的住院次数,减少的医疗保健利用率)。我们的目标是对旨在改善依从性的研究和卫生政策领域的近期变化提供评论,并提供可行的议程,以利用药物的益处实现系统级的节省并改善健康。具体来说,我们探讨了精准医学和人口健康管理的互补观点;整合数据源以开发创新性的依从性和目标依从性干预措施;和行为经济学来确定适当的激励措施。

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