Overcoming challenges to data quality in the ASPREE clinical trial.

ABSTRACT:

Background

Large-scale studies risk generating inaccurate and missing data due to the complexity of data collection. Technology has the potential to improve data quality by providing operational support to data collectors. However, this potential is under-explored in community-based trials. The Aspirin in reducing events in the elderly (ASPREE) trial developed a data suite that was specifically designed to support data collectors: the ASPREE Web Accessible Relational Database (AWARD). This paper describes AWARD and the impact of system design on data quality.

Methods

AWARD's operational requirements, conceptual design, key challenges and design solutions for data quality are presented. Impact of design features is assessed through comparison of baseline data collected prior

SUBMITTER: Lockery JE 

PROVIDER: S-EPMC6902598 | biostudies-literature | 2019 Dec

REPOSITORIES: biostudies-literature