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Dataset Information

A hepatitis C elimination model in healthcare for the homeless organization: A novel reflexive laboratory algorithm and equity assessment.


ABSTRACT:

Background

Reaching World Health Organization hepatitis C (HCV) elimination targets requires diagnosis and treatment of people who use drugs (PWUD) with direct acting antivirals (DAAs). PWUD experience challenges engaging in HCV treatment, including needing multiple provider and laboratory appointments. Women, minoritized racial communities, and homeless individuals are less likely to complete treatment.

Methods

We implemented a streamlined opt-out HCV screening and linkage-to-care program in two healthcare for the homeless clinics and a medically supported withdrawal center. Front-line staff initiated a single-order reflex laboratory bundle combining screening, confirmation, and pre-treatment laboratory evaluation from a single blood draw. Multinomial logistic regression mo

SUBMITTER: Seaman A 

PROVIDER: S-EPMC8720290 | biostudies-literature | 2021 Oct

REPOSITORIES: biostudies-literature