Combining patient reported outcomes and EHR data to understand population level treatment needs: correcting for selection bias in the migraine signature study

Combining patient reported outcomes and EHR data to understand population level treatment needs: correcting for selection bias in the migraine signature study

Abstract Background Electronic health records (EHR) data can be used to understand population level quality of care especially when supplemented with patient reported data. However, survey non-response can result in biased population estimates. As a case study, we demonstrate that EHR and survey dat...

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Bibliographic Details
Main Authors: Walter F. Stewart, Xiaowei Yan, Alice Pressman, Alice Jacobson, Shruti Vaidya, Victoria Chia, Dawn C. Buse, Richard B. Lipton
Format: Article
Language:English
Published: SpringerOpen 2021-12-01
Series:Journal of Patient-Reported Outcomes
Subjects:
Non-response bias
Electronic health records
Migraine disability
Prescription medications
Online Access:https://doi.org/10.1186/s41687-021-00401-2

Internet

https://doi.org/10.1186/s41687-021-00401-2

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