Optimizing identification of Lyme disease diagnoses in commercial insurance claims data, United States, 2016-2019.

ABSTRACT:

Background

Commercial insurance claims data are a stable and consistent source of information on Lyme disease diagnoses in the United States and can contribute to our understanding of overall disease burden and the tracking of epidemiological trends. Algorithms consisting of diagnosis codes and antimicrobial treatment information have been used to identify Lyme disease diagnoses in claims data, but there might be opportunity to improve their accuracy.

Methods

We developed three modified versions of our existing claims-based Lyme disease algorithm; each reflected refined criteria regarding antimicrobials prescribed and/or maximum days between diagnosis code and qualifying prescription claim. We applied each to a large national commercial claims database to identify Lyme disea

SUBMITTER: Nawrocki CC 

PROVIDER: S-EPMC11580348 | biostudies-literature | 2024 Nov

REPOSITORIES: biostudies-literature