Thursday, February 23
PS1 Poster Session 1 and Opening Mixer Thu, Feb 23, 5:30 PM - 7:00 PM
Conference Center AB

Interaction of Measurement Burden and Disease in the ENRICHD Clinical Trial (303472)

*Su-Yun Han, NHLBI/NIH 
Peter Kaufmann, NHLBI/NIH 
Dong-Yun Kim, NHLBI/NIH 
Marston Youngblood, The University of North Carolina 

Keywords: measurement burden, treatment participation, clinical trial, ENRICHD

In this study we investigate the effect of measurement burden on patient participation and responses to self-reported outcomes. Using ENRICHD (Enhancing Recovery In Coronary Heart Disease) clinical trial data, we demonstrate that measurement burden has a significant negative impact on participation, and there is an interaction between disease severity and measurement burden. Using the generalized linear model (GLM), we identify and estimate important factors that also contribute to patient participation. Our study suggests the measurement burden may influence the dropout rate so it should be considered at the design stage, especially when the clinical trial involves gravely ill patients.

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