Common sampling and modeling approaches to analyzing readmission risk that ignore clustering produce misleading results.
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ABSTRACT:
SUBMITTER: Zhao H
PROVIDER: S-EPMC7687737 | biostudies-literature | 2020 Nov
REPOSITORIES: biostudies-literature
Publications
Common sampling and modeling approaches to analyzing readmission risk that ignore clustering produce misleading results.
Zhao Huaqing H Tanner Samuel S Golden Sherita H SH Fisher Susan G SG Rubin Daniel J DJ
BMC medical research methodology 20201125 1
<h4>Background</h4>There is little consensus on how to sample hospitalizations and analyze multiple variables to model readmission risk. The purpose of this study was to compare readmission rates and the accuracy of predictive models based on different sampling and multivariable modeling approaches.<h4>Methods</h4>We conducted a retrospective cohort study of 17,284 adult diabetes patients with 44,203 discharges from an urban academic medical center between 1/1/2004 and 12/31/2012. Models for all ...[more]
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