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AHRQ Research Studies
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Research Studies is a compilation of published research articles funded by AHRQ or authored by AHRQ researchers.
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1 to 1 of 1 Research Studies DisplayedHuo T, Glueck DH, Shenkman EA
Stratified split sampling of electronic health records
Data extracted from electronic health records may require very different approaches for model building and analysis than data from clinical research. Because electronic health record data is designed for clinical use, researchers need to engage in the iterative process of defining and provide clear definitions of outcome and predictor variables and assessing associations. This process can increase Type I error rates and decrease the chance of replicability. Failure to consider subgroups may mask heterogeneous relationships between predictor and outcome by subgroups, thus decreasing the generalizability of the findings. To improve the likelihood of both replicability and generalizability, the researchers recommended utilizing a stratified split sample approach for studies using electronic health records. The researchers illustrate the approach through an electronic health record study of the relationships between socio-demographic factors and uptake of hepatic cancer screening, and potential heterogeneity of association in subgroups defined by gender, self-identified race and ethnicity, census-tract level poverty and insurance type.
AHRQ-funded; HS028283.
Citation: Huo T, Glueck DH, Shenkman EA .
Stratified split sampling of electronic health records
BMC Med Res Methodol 2023 May 25; 23(1):128. doi: 10.1186/s12874-023-01938-0..
Keywords: Electronic Health Records (EHRs), Health Information Technology (HIT), Research Methodologies, Health Services Research (HSR)