Data-Driven Assessment of Potentially Inappropriate Medication in the Elderly.

Marcel Friedrichs, Alban Shoshi, Maren Kleine
Author Information
  1. Marcel Friedrichs: Bioinformatics/Medical Informatics Department, Bielefeld University, Germany.
  2. Alban Shoshi: Bioinformatics/Medical Informatics Department, Bielefeld University, Germany.
  3. Maren Kleine: Bioinformatics/Medical Informatics Department, Bielefeld University, Germany.

Abstract

Multimorbid patients taking polypharmacy represent a growing population at high risk for inappropriate prescribing. Various lists for identifying potentially inappropriate medication are spread across scientific journals and difficult to access. To address this ongoing need, a new database named PIMBase is developed which integrates these well-known lists and unifies their rating scales. The analysis of the pharmacovigilance data reveals the benefits of combining the lists. PIMBase is meant to be a web-based system and starting point for the data-driven assessment of polypharmacy to identify inappropriate medication and to improve the quality of prescribing. PIMBase is available at https://pimbase.kalis-amts.de.

Keywords

MeSH Term

Aged
Drug-Related Side Effects and Adverse Reactions
Humans
Inappropriate Prescribing
Internet
Pharmacovigilance
Polypharmacy
Potentially Inappropriate Medication List
Statistics as Topic

Links to CNCB-NGDC Resources

Database Commons: DBC006637 (PIMBase)

Word Cloud

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