Characterizing Bias Due to Differential Exposure Ascertainment in Electronic Health Record Data.

ABSTRACT: Data derived from electronic health records (EHR) are heterogeneous with availability of specific measures dependent on the type and timing of patients' healthcare interactions. This creates a challenge for research using EHR-derived exposures because gold-standard exposure data, determined by a definitive assessment, may only be available for a subset of the population. Alternative approaches to exposure ascertainment in this case include restricting the analytic sample to only those patients with gold-standard exposure data available (exclusion); using gold-standard data, when available, and using a proxy exposure measure when the gold standard is unavailable (best available); or using a proxy exposure measure for everyone (common data). Exclusion may induce selection bias in outcome/exp

SUBMITTER: Hubbard RA 

PROVIDER: S-EPMC8336686 | biostudies-literature | 2021 Sep

REPOSITORIES: biostudies-literature