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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Main Authors: Walter F. Stewart (Author), Xiaowei Yan (Author), Alice Pressman (Author), Alice Jacobson (Author), Shruti Vaidya (Author), Victoria Chia (Author), Dawn C. Buse (Author), Richard B. Lipton (Author)
Format: Book
Published: SpringerOpen, 2021-12-01T00:00:00Z.
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