Use of administrative and electronic health record data for development of automated algorithms for childhood diabetes case ascertainment and type classification: the SEARCH for Diabetes in Youth Study.

ABSTRACT:

Background

The performance of automated algorithms for childhood diabetes case ascertainment and type classification may differ by demographic characteristics.

Objective

This study evaluated the potential of administrative and electronic health record (EHR) data from a large academic care delivery system to conduct diabetes case ascertainment in youth according to type, age, and race/ethnicity.

Subjects

Of 57 767 children aged <20 yr as of 31 December 2011 seen at University of North Carolina Health Care System in 2011 were included.

Methods

Using an initial algorithm including billing data, patient problem lists, laboratory test results, and diabetes related medications between 1 July 2008 and 31 December 2011, presumptive cases were identified and validated b

SUBMITTER: Zhong VW 

PROVIDER: S-EPMC4229415 | biostudies-literature | 2014 Dec

REPOSITORIES: biostudies-literature