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AdhereR: An Open Science Approach to Estimating Adherence to Medications Using Electronic Healthcare Databases.
JournalArticle (Originalarbeit in einer wissenschaftlichen Zeitschrift)
 
ID 4631776
Author(s) Dima, Alexandra; Allemann, Samuel; Dediu, Dan
Author(s) at UniBasel Allemann, Samuel
Year 2019
Title AdhereR: An Open Science Approach to Estimating Adherence to Medications Using Electronic Healthcare Databases.
Journal Studies in health technology and informatics
Volume 264
Pages / Article-Number 1451-1452
Keywords Medical Records; Medication Adherence; Reproducibility of Results
Mesh terms Databases, Factual; Medication Adherence
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.

ISSN/ISBN 0926-9630
Full Text on edoc
Digital Object Identifier DOI 10.3233/SHTI190479
PubMed ID http://www.ncbi.nlm.nih.gov/pubmed/31438176
   

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