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

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 data can be...

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Detalles Bibliográficos
Autores principales: Stewart, Walter F., Yan, Xiaowei, Pressman, Alice, Jacobson, Alice, Vaidya, Shruti, Chia, Victoria, Buse, Dawn C., Lipton, Richard B.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2021
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8684566/
https://www.ncbi.nlm.nih.gov/pubmed/34921650
http://dx.doi.org/10.1186/s41687-021-00401-2

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8684566/
https://www.ncbi.nlm.nih.gov/pubmed/34921650
http://dx.doi.org/10.1186/s41687-021-00401-2

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