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AdhereR:一种利用电子医疗数据库估算药物依从性的开放科学方法。

AdhereR: An Open Science Approach to Estimating Adherence to Medications Using Electronic Healthcare Databases.

作者信息

Dima Alexandra, Allemann Samuel, Dediu Dan

机构信息

EA 7425 Health Services and Performance Research, Université Claude Bernard Lyon 1, Lyon, France.

Pharmaceutical Care Research Group, University of Basel, Basel, Switzerland.

出版信息

Stud Health Technol Inform. 2019 Aug 21;264:1451-1452. doi: 10.3233/SHTI190479.

Abstract

Adherence to medications is a key performance indicator and behavioral outcome in healthcare. Electronic healthcare databases represent rich data sources for estimating adherence in both research and practice. To build a solid evidence base for adherence management across clinical settings, it is necessary to standardize adherence estimation and facilitate its appropriate use. We present the recent development and oportunities offered by AdhereR, an R package for visualisation of medication histories and computation of adherence.

摘要

药物依从性是医疗保健中的一项关键绩效指标和行为结果。电子医疗数据库是研究和实践中估计依从性的丰富数据源。为了在临床环境中建立坚实的依从性管理证据基础,有必要对依从性估计进行标准化并促进其合理使用。我们介绍了AdhereR(一个用于可视化用药史和计算依从性的R包)的最新发展和机遇。

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