Background: A collaborative, data-to-care strategy to identify persons with HIV (PWH) newly out-of-care, combined with an active public health intervention, significantly increases the proportion of PWH re-engaged in HIV care. We assessed this strategy's impact on durable viral suppression (DVS).
Methods: A multisite, prospective randomized controlled trial for out-of-care individuals using a data-to-care strategy and comparing public health field services to locate, contact, and facilitate access to care versus the standard of care.
Introduction: Data-to-care programmes utilize surveillance data to identify persons who are out of HIV care, re-engage them in care and improve HIV care outcomes. We assess the costs and cost-effectiveness of re-engagement in an HIV care intervention in the United States.
Methods: The Cooperative Re-engagement Control Trial (CoRECT) employed a data-to-care collaborative model between health departments and HIV care providers, August 2016-July 2018.
Background: Persons with HIV (PWH), aware of their HIV infection but not in care account for an estimated 42.6% of HIV transmissions in the United States. Health departments and clinics implemented a collaborative data-to-care strategy to identify persons newly out-of-care with the objective of increasing re-engagement, retention in medical care, and viral load suppression.
View Article and Find Full Text PDFJ Acquir Immune Defic Syndr
September 2019
Background: The Cooperative Re-Engagement Controlled Trial (CoRECT) is a randomized controlled trial that uses a combined health department-provider data to care (D2C) model to identify out-of-care HIV-infected persons. We present cost data for programmatic aspects of the trial during the start-up period (first 30 days of the study).
Methods: We used microcosting methods to estimate health department start-up costs.