Unknown

Dataset Information

Validation of Algorithms to Detect Acute and Disseminated Lyme Disease in U.S. Administrative Claims Data.


ABSTRACT:

Background

Lyme disease (LD) is the most common vector-borne disease in the United States, though traditional LD surveillance underestimates the burden of disease. We validated algorithms for early localized and disseminated LD, with and without LD-specific diagnosis codes, in states with high incidence and their neighboring states with low LD incidence.

Methods

We identified cohorts of potential incident LD cases in administrative insurance claims data, October 2015-October 2023, in 1 national and 1 regional insurer. Three algorithms were studied: a primary algorithm of an LD-specific diagnosis code and indicated antibiotic and 2 secondary algorithms for disseminated LD requiring a non-LD-specific musculoskeletal or neurologic diagnosis code, an antibiotic, and an LD diagno

SUBMITTER: Kluberg SA 

PROVIDER: S-EPMC11953000 | biostudies-literature | 2025 Apr

REPOSITORIES: biostudies-literature