A recently released summary from the ADAPTABLE Roundtable Meeting explores ways to better understand the sets of circumstances and considerations that could guide when and how to gather and integrate patient-reported health data with other data sources in pragmatic trials.
For outcomes that represent subjective experiences, such as pain, symptoms, and physical functioning, the patient is the unique and privileged source of information. Other patient-reported health data may not have a clear source of truth, such as co-morbidities and hospitalizations. In such cases, patient-reported health data may supplement, contradict, or agree with EHR and claims data. For example, medication data reported by patients might be a more accurate reflection of what patients are actually taking than medication data in the EHR, especially for over-the-counter medications.
Patient-reported health data come from various sources and can be feasibly collected in the conduct of a pragmatic clinical trial, but the optimal approaches for capturing and analyzing these data are unclear. Questions include how to integrate this information with other data collected as part of a study, including data from the EHR.
To better understand patient-reported health data and how to use them in pragmatic trials, 18 experts from 8 institutions convened at the roundtable meeting, coming from a wide variety of backgrounds including biostatistics, epidemiology, oncology, nursing, psychiatry, health policy, and regulation. Representatives from the NIH Collaboratory included Drs. Lesley Curtis and Rachel Richesson from the EHR Core and Dr. Kevin Weinfurt from the Patient-Reported Outcomes Core.
In addition to the meeting summary, two white papers are forthcoming. For more information about using patient-reported data in pragmatic trials, see the Living Textbook Chapter on Endpoints and Outcomes.
This effort was funded by Office of the Assistant Secretary for Planning and Evaluation at the U.S. Department of Health and Human Services through a supplement provided to the NIH Collaboratory Coordinating Center.