Validation of a Claims-based Algorithm to Identify Pregestational Diabetes Among Pregnant Women in the United States.

ABSTRACT:

Background

Identifying pregestational diabetes in pregnant women using administrative claims databases is important for studies of the safety of antidiabetic treatment in pregnancy, but limited data are available on the validity of case-identifying algorithms. The purpose of this study was to evaluate the validity of an administrative claims-based algorithm to identify pregestational diabetes.

Methods

Using a cohort of pregnant women nested within the Medicaid Analytic Extract (MAX) database, we developed an algorithm to identify pregestational type 1 and type 2 diabetes, distinct from gestational diabetes. Within a single large healthcare system in the Boston area, we identified women who delivered an infant between 2000 and 2010 and were covered by Medicaid, and linked the

SUBMITTER: Wood ME 

PROVIDER: S-EPMC8478806 | biostudies-literature | 2021 Nov

REPOSITORIES: biostudies-literature