A Quantitative Bias Analysis Approach to Informative Presence Bias in Electronic Health Records.

ABSTRACT: Accurate outcome and exposure ascertainment in electronic health record (EHR) data, referred to as EHR phenotyping, relies on the completeness and accuracy of EHR data for each individual. However, some individuals, such as those with a greater comorbidity burden, visit the health care system more frequently and thus have more complete data, compared with others. Ignoring such dependence of exposure and outcome misclassification on visit frequency can bias estimates of associations in EHR analysis. We developed a framework for describing the structure of outcome and exposure misclassification due to informative visit processes in EHR data and assessed the utility of a quantitative bias analysis approach to adjusting for bias induced by informative visit patterns. Using simulations, we foun

SUBMITTER: Zhang H 

PROVIDER: S-EPMC11027938 | biostudies-literature | 2024 May

REPOSITORIES: biostudies-literature