Hidden in plain sight: bias towards sick patients when sampling patients with sufficient electronic health record data for research.

ABSTRACT:

Background

To demonstrate that subject selection based on sufficient laboratory results and medication orders in electronic health records can be biased towards sick patients.

Methods

Using electronic health record data from 10,000 patients who received anesthetic services at a major metropolitan tertiary care academic medical center, an affiliated hospital for women and children, and an affiliated urban primary care hospital, the correlation between patient health status and counts of days with laboratory results or medication orders, as indicated by the American Society of Anesthesiologists Physical Status Classification (ASA Class), was assessed with a Negative Binomial Regression model.

Results

Higher ASA Class was associated with more points of data: compared to

SUBMITTER: Rusanov A 

PROVIDER: S-EPMC4062889 | biostudies-literature | 2014 Jun

REPOSITORIES: biostudies-literature