Identifying diabetes cases from administrative data: a population-based validation study.

ABSTRACT:

Background

Health care data allow for the study and surveillance of chronic diseases such as diabetes. The objective of this study was to identify and validate optimal algorithms for diabetes cases within health care administrative databases for different research purposes, populations, and data sources.

Methods

We linked health care administrative databases from Ontario, Canada to a reference standard of primary care electronic medical records (EMRs). We then identified and calculated the performance characteristics of multiple adult diabetes case definitions, using combinations of data sources and time windows.

Results

The best algorithm to identify diabetes cases was the presence at any time of one hospitalization or physician claim for diabetes AND either one pres

SUBMITTER: Lipscombe LL 

PROVIDER: S-EPMC5932874 | biostudies-literature | 2018 May

REPOSITORIES: biostudies-literature