Ontology highlight
ABSTRACT: Objective
We describe a stratified sampling design that combines electronic health records (EHRs) and United States Census (USC) data to construct the sampling frame and an algorithm to enrich the sample with individuals belonging to rarer strata.Materials and methods
This design was developed for a multi-site survey that sought to examine patient concerns about and barriers to participating in research studies, especially among under-studied populations (eg, minorities, low educational attainment). We defined sampling strata by cross-tabulating several socio-demographic variables obtained from EHR and augmented with census-block-level USC data. We oversampled rarer and historically underrepresented subpopulations.Results
The sampling strategy, which included USC-su
SUBMITTER: Mercaldo ND
PROVIDER: S-EPMC6351976 | biostudies-literature | 2019 Mar
REPOSITORIES: biostudies-literature