Results Summary

What was the project about?

For research studies, researchers can use data about patients’ health and treatments from electronic health records, or EHRs. They may also collect self-reported data directly from patients. But a patient’s EHR and self-reported data may not always agree. For example, differences may exist between the medicines that patients report taking and the medicines listed in their EHRs. Researchers don’t know which of these two data sources is the most accurate.

In this project, the research team looked at EHR and self-reported data to learn which data source was more accurate.

What did the research team do?

The research team used EHR and self-reported data from 5,900 adult patients who received care from clinics and hospitals in North Carolina and Arkansas between December 2018 and December 2019.

First, the research team compared each patient’s EHR data with their self-reported data to check agreement between the two. The team compared data for:

  • 34 health problems, such as obesity
  • Eight types of surgery or procedures, such as heart surgery
  • Hospital stays
  • Smoking status

Next, the research team interviewed 610 patients whose EHR and self-reported data were not the same. The team found out which information was correct. Based on these findings, the team created a new data set for the 610 patients with correct data. To measure the accuracy of the EHR and self-reported data sources, the team compared data from each source with the new data set.

Patients and doctors helped design and conduct the study.

What were the results?

Of the 5,900 patients, 5.5 percent had complete agreement between their EHR and self-reported data. For all other patients, agreement between EHR and self-reported data varied. For obesity data, 24 percent of patients had agreement between the EHR and self-reported data sources. For heart surgery data, 99 percent of patients had agreement. For 75 percent of patients who had hospital stays, the data sources had different admission dates.

Both EHR and self-reported data sources had missing data on health problems. For the 610 interviewed patients, self-reported data were more accurate than EHR data. The accuracy of the self-reported data source was equal to or greater than 90 percent for most of the data; the accuracy of the EHR data was less than 80 percent. Both data sources had less than 90 percent accuracy for obesity, high cholesterol, and hospital stays.

What were the limits of the project?

The research team measured the accuracy of data for specific health problems. Findings were different based on where patients lived. The results may not apply to other health conditions or patients from other states.

Future research could examine differences in data sources in other states to learn more about which source is more accurate to use.

How can people use the results?

Researchers can use the results when considering which data sources to use in studies.

Final Research Report

This project's final research report is expected to be available by November 2023.

Peer-Review Summary

The Peer-Review Summary for this project will be posted here soon.

Project Information

Anita Walden, MS^
Oregon Health & Science University
Measuring and Talking to Patients about the Accuracy of Data used in PCOR

Key Dates

April 2015
January 2023

Study Registration Information

^Meredith Nahm Zozus, PhD, was the original principal investigator on this project. Dr. Zozus was affiliated with Duke University when this project was initially awarded.


Has Results
Award Type
State State The state where the project originates, or where the primary institution or organization is located. View Glossary
Last updated: January 26, 2023