Validation of algorithms to identify human immunodeficiency virus cases using administrative data in Manitoba.

ABSTRACT:

Objective

Population-based administrative data are valuable for describing human immunodeficiency virus (HIV) cases, and their health status and outcomes. Our objective was to validate algorithms consisting of physician visits, hospitalizations, and antiretroviral prescriptions against positive confirmatory HIV laboratory tests to identify individuals living with HIV.

Methods

The primary validation cohort consisted of adult Manitoban residents with at least 3 years of health coverage between 2007 and 2018. Positive confirmatory HIV tests from the provincial laboratory were the reference standard. We evaluated 15 algorithms requiring 2 or 3 years of administrative data (hospital, physician, and prescription records) to ascertain cases. Seven measures of accuracy were estimate

SUBMITTER: Anderson AJ 

PROVIDER: S-EPMC11870711 | biostudies-literature | 2025 Feb

REPOSITORIES: biostudies-literature