Date of Award

5-13-2024

Document Type

Dissertation

Degree Name

Doctor of Philosophy (PhD)

Department

Computer Science

First Advisor

John Talburt

Second Advisor

Melody Greer

Abstract

This study investigates the impact of on-screen edit checks (OSECs) on reducing data entry errors in Electronic Data Capture (EDC) systems, addressing a gap in existing literature on the efficacy of OSECs. Employing a crossover experimental design, the research utilizes deidentified neonatal opioid withdrawal data from the ACT NOW CE study. Twenty participants were divided into two arms to enter data into an electronic case report form (eCRF): one arm began with OSECs enabled and the other without and transitioned to the opposite halfway through. Each participant processed 20 cases, yielding a total of 130,815 data points across 285 questions per form. The study aims to quantify the reduction in data entry errors facilitated by OSECs, assess the influence of different user interface widgets on data quality errors, and identify any training effects arising from exposure to OSECs. The findings suggest that OSECs helped enhance data quality by decreasing entry errors by around 29.32%, which has implications for improving overall data reliability in clinical research. Further analysis will elucidate the role of user interface design in error reduction and the extent of the training effect.

Download

Share

COinS