A roundtable discussion organized by the NIH Collaboratory in 2017 has produced consensus findings on the analysis and integration of patient-reported health (PRH) data in clinical trials. The report is part of an effort by the ADAPTABLE Supplement project team “to address best practices for capturing PRH data in pragmatic studies and optimal analytic approaches for integrating PRH with other data sources.”

The consensus statement was published online ahead of print this month in the Journal of the American Medical Informatics Association.

The report discusses strengths and limitations of PRH data, approaches for ascertaining and classifying study end points, and methods for addressing incompleteness, data alignment, and data concordance. Roundtable participants used experiences from the ADAPTABLE trial as a case study to inform their discussions.

ADAPTABLE, the first major randomized comparative effectiveness trial conducted by the National Patient-Centered Clinical Research Network (PCORnet), seeks to determine the optimal dose of aspirin therapy for secondary prevention of atherosclerotic cardiovascular disease. The trial relies on both existing EHR data sources and PRH data.

This work was supported by a supplemental grant award to the NIH Collaboratory Coordinating Center from the National Center for Complementary and Integrative Health.