An informatics framework for the standardized collection and analysis of medication data in networked research.

Published

Journal Article (Review)

Medication exposure is an important variable in virtually all clinical research, yet there is great variation in how the data are collected, coded, and analyzed. Coding and classification systems for medication data are heterogeneous in structure, and there is little guidance for implementing them, especially in large research networks and multi-site trials. Current practices for handling medication data in clinical trials have emerged from the requirements and limitations of paper-based data collection, but there are now many electronic tools to enable the collection and analysis of medication data. This paper reviews approaches to coding medication data in multi-site research contexts, and proposes a framework for the classification, reporting, and analysis of medication data. The framework can be used to develop tools for classifying medications in coded data sets to support context appropriate, explicit, and reproducible data analyses by researchers and secondary users in virtually all clinical research domains.

Full Text

Duke Authors

Cited Authors

  • Richesson, RL

Published Date

  • December 2014

Published In

Volume / Issue

  • 52 /

Start / End Page

  • 4 - 10

PubMed ID

  • 24434192

Pubmed Central ID

  • 24434192

Electronic International Standard Serial Number (EISSN)

  • 1532-0480

International Standard Serial Number (ISSN)

  • 1532-0464

Digital Object Identifier (DOI)

  • 10.1016/j.jbi.2014.01.002

Language

  • eng