Abstract:Background
In real‐world evidence research, reliability of coding in healthcare databases dictates the accuracy of code‐based algorithms in identifying conditions such as urinary tract infection (UTI). This study evaluates the performance characteristics of code‐based algorithms to identify UTI.
Methods
Retrospective observational study of adults contained within three large U.S. administrative claims databases on or after January 1, 2010. A targeted literature review was performed to inform the development of… Show more
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