Optimising medication data collection in a large-scale clinical trial.

ABSTRACT:

Objective

Pharmaceuticals play an important role in clinical care. However, in community-based research, medication data are commonly collected as unstructured free-text, which is prohibitively expensive to code for large-scale studies. The ASPirin in Reducing Events in the Elderly (ASPREE) study developed a two-pronged framework to collect structured medication data for 19,114 individuals. ASPREE provides an opportunity to determine whether medication data can be cost-effectively collected and coded, en masse from the community using this framework.

Methods

The ASPREE framework of type-to-search box with automated coding and linked free text entry was compared to traditional method of free-text only collection and post hoc coding. Reported medications were classified accord

SUBMITTER: Lockery JE 

PROVIDER: S-EPMC6934269 | biostudies-literature | 2019

REPOSITORIES: biostudies-literature